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Accessibility is the magic here. Anyone with a phone can do this. Capture > upload > process > boom - you’ve got a real environment stored as a 3DGS asset. Right before HalfRez in Chicago, I shot a few quick videos while walking around the city. Nothing planned, nothing...

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Spenser Dickerson

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19,831 просмотров • 8 месяцев назад •via X (Twitter)

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I really want to show off the cutting edge tech the team is building and how we're turning AI image generation into real living environments using gaussian splats and at the :19 mark of this video you can see how we're blending splats together to create a real world. What this looks like from a gaming perspective is this all happens behind the players view to simulate a real world environment. As you move through the space, distance becomes a variable to consider on how images update and are experienced. We are creating a new reality in real time.
1:21

I really want to show off the cutting edge tech the team is building and how we're turning AI image generation into real living environments using gaussian splats and at the :19 mark of this video you can see how we're blending splats together to create a real world. What this looks like from a gaming perspective is this all happens behind the players view to simulate a real world environment. As you move through the space, distance becomes a variable to consider on how images update and are experienced. We are creating a new reality in real time.

𝔹𝕃𝕍ℂ𝕂𝕃!𝔾ℍ𝕋

25,084 просмотров • 1 месяц назад

Gaussian Splatting is pretty wild. Being able to take dense collections of assets and package them into fast, real-time splats opens up a ton of new possibilities for look-dev, previs, and interactive scenes. For this test, I built a pile of 400 skulls - roughly 40+ million polygons (and over 400 8K texture instances) - rendered out a 600 frame dataset on The Render Network with OTOY OctaneRender and then converted the result into a single splat asset. Now it runs in real-time as one compact Gaussian Splat.
1:55

Gaussian Splatting is pretty wild. Being able to take dense collections of assets and package them into fast, real-time splats opens up a ton of new possibilities for look-dev, previs, and interactive scenes. For this test, I built a pile of 400 skulls - roughly 40+ million polygons (and over 400 8K texture instances) - rendered out a 600 frame dataset on The Render Network with OTOY OctaneRender and then converted the result into a single splat asset. Now it runs in real-time as one compact Gaussian Splat.

Spenser Dickerson

46,560 просмотров • 8 месяцев назад

Introducing powered by Over the Reality. FreeGaussian is a new way to transform your existing photos, videos, and 360 captures for free into high-quality 3D Gaussian splats, directly in your browser. Whether you already have: ↳ a 360 recording captured with any 360 camera ↳ a set of photos ↳ or even a simple video from a place you visited you can now turn it into a photorealistic 3D Gaussian splat. Just go to upload your content, and let the reconstruction happen. Once it’s ready, you can download your 3D Gaussian splat and point cloud, and use them across your own projects, pipelines, or applications.
0:27

Introducing powered by Over the Reality. FreeGaussian is a new way to transform your existing photos, videos, and 360 captures for free into high-quality 3D Gaussian splats, directly in your browser. Whether you already have: ↳ a 360 recording captured with any 360 camera ↳ a set of photos ↳ or even a simple video from a place you visited you can now turn it into a photorealistic 3D Gaussian splat. Just go to upload your content, and let the reconstruction happen. Once it’s ready, you can download your 3D Gaussian splat and point cloud, and use them across your own projects, pipelines, or applications.

Over the Reality 🌐

86,261 просмотров • 3 месяцев назад

Have you made some #3D models with #gaussiansplatting using Luma or polycam ? Here is how you can now clean them up directly on the web: People nowadays call them "Splats". These 3D models have the advantage of being extremely light compared to polygon-based 3D models. You can use various apps to generate these assets like the one I mentioned above. Often what you need is just a video or a set of images that you can shoot directly from your phone. To my knowledge, none of those apps right now offer the ability to edit and "clean" the model you get.... UNTIL NOW! You can go to from PlayCanvas import the splats you have downloaded and start cleaning it up directly on your #browser. After that the asset is ready to be exported as a PLY file Was this useful? Follow me for more content around #XR and #AI 😉
1:05

Have you made some #3D models with #gaussiansplatting using Luma or polycam ? Here is how you can now clean them up directly on the web: People nowadays call them "Splats". These 3D models have the advantage of being extremely light compared to polygon-based 3D models. You can use various apps to generate these assets like the one I mentioned above. Often what you need is just a video or a set of images that you can shoot directly from your phone. To my knowledge, none of those apps right now offer the ability to edit and "clean" the model you get.... UNTIL NOW! You can go to from PlayCanvas import the splats you have downloaded and start cleaning it up directly on your #browser. After that the asset is ready to be exported as a PLY file Was this useful? Follow me for more content around #XR and #AI 😉

Gabriele Romagnoli

70,987 просмотров • 2 лет назад

Look at how crispy this 3d gaussian splat came out! The reflections in the painting have me floored. Captured with a Sony a7iii camera and 18mm lens. I posed the imagery using epic's reality capture and trained it with lichtfeld studio. Lichtfeld is my new favorite way to train splats -- it integrates all the latest research and it’s completely free. Also what I love about 3d capture -- you can process old datasets with new algorithms and breathe new life into them.
0:27

Look at how crispy this 3d gaussian splat came out! The reflections in the painting have me floored. Captured with a Sony a7iii camera and 18mm lens. I posed the imagery using epic's reality capture and trained it with lichtfeld studio. Lichtfeld is my new favorite way to train splats -- it integrates all the latest research and it’s completely free. Also what I love about 3d capture -- you can process old datasets with new algorithms and breathe new life into them.

Bilawal Sidhu

78,613 просмотров • 5 месяцев назад

What happens if you try to push and squash a Gaussian splat? :) Been playing with adding simplified deformation and a lightweight physics simulation layer to Gaussian splats, running directly in real time on mobile. Instead of simulating every splat, this uses a small CPU lattice to drive the deformation, plus a per-splat transform so they actually stretch and compress properly. No mesh conversion, no retraining. Just layered on top of the renderer. You can push, bend, squash a scan and it holds together surprisingly well... Still early, but I can see the potential in making splats feel more real, from static captures to something more tactile, something you can touch, throw, bounce around… or well just fold and squash on the floor :) #GaussianSplatting #3DGS #Unity
0:39

What happens if you try to push and squash a Gaussian splat? :) Been playing with adding simplified deformation and a lightweight physics simulation layer to Gaussian splats, running directly in real time on mobile. Instead of simulating every splat, this uses a small CPU lattice to drive the deformation, plus a per-splat transform so they actually stretch and compress properly. No mesh conversion, no retraining. Just layered on top of the renderer. You can push, bend, squash a scan and it holds together surprisingly well... Still early, but I can see the potential in making splats feel more real, from static captures to something more tactile, something you can touch, throw, bounce around… or well just fold and squash on the floor :) #GaussianSplatting #3DGS #Unity

𝐑𝐔𝐁𝐄𝐍🥽𝐅𝐑𝐎

51,154 просмотров • 4 месяцев назад

Another city. Another full 3D Gaussian Splat reconstruction. This entire neighborhood was captured while walking with an Insta360 X5, then processed with our GPU pipeline and transformed into a high-fidelity, machine-readable 3D environment with Over the Reality. What you’re seeing is not an isolated virtual world. It’s a 3D digital twin of a real-world location, built from structured spatial data where every building, street, and detail can become usable by AI, robotics, and XR. And it’s happening at scale, across cities in more than 180 countries every day. Have an Insta360 X5 and want to become a mapper? Apply here: Want to build a 3D Gaussian Splat from a video you already recorded? Do it for free at powered by Over the Reality.
2:42

Another city. Another full 3D Gaussian Splat reconstruction. This entire neighborhood was captured while walking with an Insta360 X5, then processed with our GPU pipeline and transformed into a high-fidelity, machine-readable 3D environment with Over the Reality. What you’re seeing is not an isolated virtual world. It’s a 3D digital twin of a real-world location, built from structured spatial data where every building, street, and detail can become usable by AI, robotics, and XR. And it’s happening at scale, across cities in more than 180 countries every day. Have an Insta360 X5 and want to become a mapper? Apply here: Want to build a 3D Gaussian Splat from a video you already recorded? Do it for free at powered by Over the Reality.

Over the Reality 🌐

400,097 просмотров • 3 месяцев назад

Dormant Memories — a gallery regrouping my recent experiments built from real-world captures, reconstructed as 3D Gaussian Splats, and in many cases manipulated using World Labs' Marble. Everything is built with Spark, the 3D Gaussian splat renderer released by World Labs. It runs in the browser and can be experienced across devices: desktop, mobile, and headsets like Apple Vision Pro and Quest 3. This work comes out of something I've been exploring for a few years now: capturing fragments of the world (places, objects, moments...) and turning them into spaces that can then be revisited, manipulated, and explored in real time. What particularly interests me here is the process of creating alternate versions of the same place; starting from something that physically exists and using it as a base to explore variations, instead of generating from scratch. These explorations are part of what we do at Dpt.... same tools, same curiosity, same collaborative energy that shape the studio's work on interactive and immersive experiences. Some of these experiments were featured as part of the Spark 2.0 release by World Labs. Their technical blog post is a must-read; link in the thread ↓ These are experiments. They aren't fully optimized, they aren't bug-free, and the UX has rough edges. The goal is to explore, test, and learn. #GaussianSplatting #3DGS #pointcloud #WorldModels #sparkjs #threejs
1:20

Dormant Memories — a gallery regrouping my recent experiments built from real-world captures, reconstructed as 3D Gaussian Splats, and in many cases manipulated using World Labs' Marble. Everything is built with Spark, the 3D Gaussian splat renderer released by World Labs. It runs in the browser and can be experienced across devices: desktop, mobile, and headsets like Apple Vision Pro and Quest 3. This work comes out of something I've been exploring for a few years now: capturing fragments of the world (places, objects, moments...) and turning them into spaces that can then be revisited, manipulated, and explored in real time. What particularly interests me here is the process of creating alternate versions of the same place; starting from something that physically exists and using it as a base to explore variations, instead of generating from scratch. These explorations are part of what we do at Dpt.... same tools, same curiosity, same collaborative energy that shape the studio's work on interactive and immersive experiences. Some of these experiments were featured as part of the Spark 2.0 release by World Labs. Their technical blog post is a must-read; link in the thread ↓ These are experiments. They aren't fully optimized, they aren't bug-free, and the UX has rough edges. The goal is to explore, test, and learn. #GaussianSplatting #3DGS #pointcloud #WorldModels #sparkjs #threejs

Hugues Bruyère

12,408 просмотров • 3 месяцев назад

✨ I made a little demo of #vibejam sponsor Tripo and how you can use it to generate assets for your games In this case I'm generating an apartment flat that's half destroyed and open for my drone sim to fly around, take cover and shoot at enemies from First I write the prompt and select Nano Banana to generate an image first, I get a few different ones, and I select the one I like Then that one is converted into a 3d object called a Smart Mesh Smart Mesh is different than regular image-to-3d models because usually you get issues with uneven polygon distribution, too dense geometry and poor edge flow, so while you think you save time with generating it with AI you end up doing lots of editing after to fix the topology which kinda defeats the point Smart Mesh doesn't have any of this, it's fast and clean low-poly models you can drop into your game Anyway, after generating the model I can then see it in 3d, and if I don't like it, regenerate it, or if I like it start texturing it Once that's done, I export it as a GLB, FBX or OBJ and drop it in (usually I use GLB as ThreeJS seems to prefer that), in my case I just drop the URL into Cursor and let it figure out the placement of the asset into my game!
1:20

✨ I made a little demo of #vibejam sponsor Tripo and how you can use it to generate assets for your games In this case I'm generating an apartment flat that's half destroyed and open for my drone sim to fly around, take cover and shoot at enemies from First I write the prompt and select Nano Banana to generate an image first, I get a few different ones, and I select the one I like Then that one is converted into a 3d object called a Smart Mesh Smart Mesh is different than regular image-to-3d models because usually you get issues with uneven polygon distribution, too dense geometry and poor edge flow, so while you think you save time with generating it with AI you end up doing lots of editing after to fix the topology which kinda defeats the point Smart Mesh doesn't have any of this, it's fast and clean low-poly models you can drop into your game Anyway, after generating the model I can then see it in 3d, and if I don't like it, regenerate it, or if I like it start texturing it Once that's done, I export it as a GLB, FBX or OBJ and drop it in (usually I use GLB as ThreeJS seems to prefer that), in my case I just drop the URL into Cursor and let it figure out the placement of the asset into my game!

@levelsio

72,338 просмотров • 3 месяцев назад

Have you ever seen a robot walk along a waterfront, understand its surroundings, and look out at the sea? 🤖 Thanks to Over the Reality, this is possible. Places like this are mapped every day by our global community of 360 mappers. Using our technology, they are transformed into high-fidelity machine-readable 3D Gaussian Splats. This data can be used to: • navigate robots through the physical world • train AI and Visual Models • power VPS localization • anchor persistent XR content to real-world locations This is just one of more than 250,000 real-world locations already mapped by the Over the Reality community. And unlike traditional datasets, these places can be explored directly through a smartphone, browser, or XR headset, allowing anyone to navigate and experience them in first person. From city streets and waterfronts to landmarks and cultural sites, we're building one of the world's largest machine-readable maps for AI, robotics, and spatial computing.
0:36

Have you ever seen a robot walk along a waterfront, understand its surroundings, and look out at the sea? 🤖 Thanks to Over the Reality, this is possible. Places like this are mapped every day by our global community of 360 mappers. Using our technology, they are transformed into high-fidelity machine-readable 3D Gaussian Splats. This data can be used to: • navigate robots through the physical world • train AI and Visual Models • power VPS localization • anchor persistent XR content to real-world locations This is just one of more than 250,000 real-world locations already mapped by the Over the Reality community. And unlike traditional datasets, these places can be explored directly through a smartphone, browser, or XR headset, allowing anyone to navigate and experience them in first person. From city streets and waterfronts to landmarks and cultural sites, we're building one of the world's largest machine-readable maps for AI, robotics, and spatial computing.

Over the Reality 🌐

31,824 просмотров • 2 месяцев назад

Have you explored Project Genie yet? 🌎 We just launched a huge set of updates! You can now simulate worlds grounded in Google Maps Street View, manage your creations in a new library, and share them externally. Let's dive in: 1️⃣ Street View Grounding: You can now generate worlds starting from real places! Just tap the Maps pin to choose a location in the US and you can pick a style like "Desert Sands" or "Ocean World." Describe your character, and Genie ties your starting location to real-world imagery. 2️⃣ Library: You can now store and organize your generated worlds. Easily explore past creations or remix your favorites to iterate on your ideas. 3️⃣ External sharing: You can now share your generated worlds. Anyone can watch a video preview of your world, and Ultra subscribers can explore or remix them. Check out a shared world here: ✨ And now, Project Genie is gradually rolling out to all eligible Google AI Ultra subscribers globally (18+). Jump in and start creating today!
0:25

Have you explored Project Genie yet? 🌎 We just launched a huge set of updates! You can now simulate worlds grounded in Google Maps Street View, manage your creations in a new library, and share them externally. Let's dive in: 1️⃣ Street View Grounding: You can now generate worlds starting from real places! Just tap the Maps pin to choose a location in the US and you can pick a style like "Desert Sands" or "Ocean World." Describe your character, and Genie ties your starting location to real-world imagery. 2️⃣ Library: You can now store and organize your generated worlds. Easily explore past creations or remix your favorites to iterate on your ideas. 3️⃣ External sharing: You can now share your generated worlds. Anyone can watch a video preview of your world, and Ultra subscribers can explore or remix them. Check out a shared world here: ✨ And now, Project Genie is gradually rolling out to all eligible Google AI Ultra subscribers globally (18+). Jump in and start creating today!

Google Labs

84,137 просмотров • 2 месяцев назад

Fast Company just published a great piece on World Labs , Fei-Fei Li , Marble, and the idea that spatial intelligence / world models may be one of the next big shifts in AI. I was happy to be quoted in the article, but I also wanted to share more context about my own experience with World Labs and Marble, and why this direction is especially interesting to me. My starting point: volumetric capture — For the past few years I’ve been exploring and using volumetric capture and reconstruction (photogrammetry, NeRFs, 3D Gaussian Splats) mostly capturing locations around Montreal. Alleys, museums, urban interiors. I love every step of it: the capture itself, the pipeline, and what can be done with the output. Turning real spaces into real-time explorable systems. I do this personally, sharing explorations here, and professionally as chief technologist, and co-founder of Dpt. Physical reality + generative manipulation — In my work I’m especially drawn to mixing physical reality with generative and digital manipulation: using physical interfaces (light, clay, ink, ... ) to drive generative AI pipelines, building mixed reality prototypes that reshape your surroundings, or starting from real captured spaces and transforming them using tools like Marble. Like many people, I saw the World Labs announcement on Twitter in September 2024, and Marble when it surfaced in early December. But by then, I already had a sense something was coming. The first conversation — As someone deep into volumetric capture and radiance fields, I obviously knew about Ben Mildenhall and his pioneering work on NeRF. To my surprise, Ben reached out to me in late June 2024. He’d been following some of my experiments and wanted to chat about my process and workflows and how I was using this “stuff” creatively. At that point he didn’t share what he was building, but we had a genuinely great conversation about radiance fields, AI, and my work. He was curious about the creative perspective, not just the technical one. When the World Labs announcement dropped a few months later, it all made sense. I understood what Ben had been working on, and why the creative angle mattered to them. Then in August 2025, he invited me to try the Marble beta, and I’ve been experimenting with it since. Experimenting with Marble — The first thing I used Marble for was materializing scene and world concepts during ideation at the studio, and seeing if and how it could fit into our production pipeline. In parallel, I dove into a series of experiments focused on world manipulation: starting from real captured spaces and transforming them using Marble. I’d already been exploring that idea using img2img diffusion with ControlNet on NeRF renders, real-time video streams, and even mixed reality using headset camera feeds. But Marble brings something different. It generates persistent, spatially cohesive 3D worlds that can be rendered in real time across a wide range of devices. That’s a real shift. Experiment 01: Parallel Realities — The first experiment, Parallel Realities, starts from a volumetric capture of a real location, reconstructed as 3D Gaussian Splats. Using Marble, I generate an alternate version of that same space, something informed by the original architecture: abandoned, nature-reclaimed, alternate era. Then, using Spark (World Labs’ 3D Gaussian Splatting renderer for THREE.js) I make both realities coexist in the same spatial coordinate system. From there, I use a portal UX mechanic to let the user step between the real reconstruction and the Marble-generated version. Experiment 02: Hidden Depth The second experiment, Hidden Depth, does not transform a space as much as expand it. A captured location has a visual boundary (a mural, a doorway, a dark corridor) and Marble generates what exists beyond it. For example: a Montreal alley has a painted mural; step through it and you’re inside a world informed by what is actually depicted there. World Labs showcased part of this work here: And in their Spark 2.0 post: The project page is here: Why this matters to me — Being able to start from a real 3D Gaussian Splat scene and manipulate it with Marble opens up a lot of ideas. The 3DGS pipeline is becoming an increasingly compelling foundation for exploration, experimentation, and storytelling. What matters most to me right now is more control. The more I can steer the generated scene or world, the more useful the tool becomes. I want more features like the already existing multiple input images and Chisel, the blockout-based approach. I would like better local control, the ability to expand a generated world more and more while preserving coherence, and the ability to directly import 3D Gaussian Splat scenes to be used as a starting point. I want more ways to shape the result, not just a “prompt and hope” approach. — It is exciting to see this field moving from research and demos toward actual creative workflows.
1:04

Fast Company just published a great piece on World Labs , Fei-Fei Li , Marble, and the idea that spatial intelligence / world models may be one of the next big shifts in AI. I was happy to be quoted in the article, but I also wanted to share more context about my own experience with World Labs and Marble, and why this direction is especially interesting to me. My starting point: volumetric capture — For the past few years I’ve been exploring and using volumetric capture and reconstruction (photogrammetry, NeRFs, 3D Gaussian Splats) mostly capturing locations around Montreal. Alleys, museums, urban interiors. I love every step of it: the capture itself, the pipeline, and what can be done with the output. Turning real spaces into real-time explorable systems. I do this personally, sharing explorations here, and professionally as chief technologist, and co-founder of Dpt. Physical reality + generative manipulation — In my work I’m especially drawn to mixing physical reality with generative and digital manipulation: using physical interfaces (light, clay, ink, ... ) to drive generative AI pipelines, building mixed reality prototypes that reshape your surroundings, or starting from real captured spaces and transforming them using tools like Marble. Like many people, I saw the World Labs announcement on Twitter in September 2024, and Marble when it surfaced in early December. But by then, I already had a sense something was coming. The first conversation — As someone deep into volumetric capture and radiance fields, I obviously knew about Ben Mildenhall and his pioneering work on NeRF. To my surprise, Ben reached out to me in late June 2024. He’d been following some of my experiments and wanted to chat about my process and workflows and how I was using this “stuff” creatively. At that point he didn’t share what he was building, but we had a genuinely great conversation about radiance fields, AI, and my work. He was curious about the creative perspective, not just the technical one. When the World Labs announcement dropped a few months later, it all made sense. I understood what Ben had been working on, and why the creative angle mattered to them. Then in August 2025, he invited me to try the Marble beta, and I’ve been experimenting with it since. Experimenting with Marble — The first thing I used Marble for was materializing scene and world concepts during ideation at the studio, and seeing if and how it could fit into our production pipeline. In parallel, I dove into a series of experiments focused on world manipulation: starting from real captured spaces and transforming them using Marble. I’d already been exploring that idea using img2img diffusion with ControlNet on NeRF renders, real-time video streams, and even mixed reality using headset camera feeds. But Marble brings something different. It generates persistent, spatially cohesive 3D worlds that can be rendered in real time across a wide range of devices. That’s a real shift. Experiment 01: Parallel Realities — The first experiment, Parallel Realities, starts from a volumetric capture of a real location, reconstructed as 3D Gaussian Splats. Using Marble, I generate an alternate version of that same space, something informed by the original architecture: abandoned, nature-reclaimed, alternate era. Then, using Spark (World Labs’ 3D Gaussian Splatting renderer for THREE.js) I make both realities coexist in the same spatial coordinate system. From there, I use a portal UX mechanic to let the user step between the real reconstruction and the Marble-generated version. Experiment 02: Hidden Depth The second experiment, Hidden Depth, does not transform a space as much as expand it. A captured location has a visual boundary (a mural, a doorway, a dark corridor) and Marble generates what exists beyond it. For example: a Montreal alley has a painted mural; step through it and you’re inside a world informed by what is actually depicted there. World Labs showcased part of this work here: And in their Spark 2.0 post: The project page is here: Why this matters to me — Being able to start from a real 3D Gaussian Splat scene and manipulate it with Marble opens up a lot of ideas. The 3DGS pipeline is becoming an increasingly compelling foundation for exploration, experimentation, and storytelling. What matters most to me right now is more control. The more I can steer the generated scene or world, the more useful the tool becomes. I want more features like the already existing multiple input images and Chisel, the blockout-based approach. I would like better local control, the ability to expand a generated world more and more while preserving coherence, and the ability to directly import 3D Gaussian Splat scenes to be used as a starting point. I want more ways to shape the result, not just a “prompt and hope” approach. — It is exciting to see this field moving from research and demos toward actual creative workflows.

Hugues Bruyère

69,960 просмотров • 1 месяц назад

my new song “BREAKDOWN.” is out on the 21st of June!!! 🖤🖤🖤 I wrote this poem because it’s been the hardest year for my mental health. In my life I’ve always never felt good enough, it’s just the thing that’s eaten me up. For as long as I can remember i have felt constantly afraid of how quickly my head can turn dark. It’s always been so hard to fight the darkness that i inevitably have. A lot of people will say it’s a phase and it will go away. But it doesn’t and the reality of the situation is I have to find strategies to deal with it. To put it plainly the things I don’t like about myself will probably never change, people tell me one day I’ll come-to terms with them one day but I want that day to be FUCKING NOW. This song is a message to myself to try and exist alongside my insecurities and my darkness by grounding myself and remembering what is real in life and the world is so much bigger than me. Try and get out of your head and notice the world around you, notice the things and people around you. Connect with them, the chances are they probably feel the same. Don’t let the bullshit inside your head consume you. It just wastes precious time. Remember what is real. Help people, be kind, help the world, help yourself. If you think you can’t do it, you can. You can get through this, trust me. Use this poem in a mornin to get u out of bed, use it when youre about to back out of something last minute, use it when you’re at your darkest. It’s got a little bit of light in it. Don’t forget to put your feet in the grass … Mind
0:55

my new song “BREAKDOWN.” is out on the 21st of June!!! 🖤🖤🖤 I wrote this poem because it’s been the hardest year for my mental health. In my life I’ve always never felt good enough, it’s just the thing that’s eaten me up. For as long as I can remember i have felt constantly afraid of how quickly my head can turn dark. It’s always been so hard to fight the darkness that i inevitably have. A lot of people will say it’s a phase and it will go away. But it doesn’t and the reality of the situation is I have to find strategies to deal with it. To put it plainly the things I don’t like about myself will probably never change, people tell me one day I’ll come-to terms with them one day but I want that day to be FUCKING NOW. This song is a message to myself to try and exist alongside my insecurities and my darkness by grounding myself and remembering what is real in life and the world is so much bigger than me. Try and get out of your head and notice the world around you, notice the things and people around you. Connect with them, the chances are they probably feel the same. Don’t let the bullshit inside your head consume you. It just wastes precious time. Remember what is real. Help people, be kind, help the world, help yourself. If you think you can’t do it, you can. You can get through this, trust me. Use this poem in a mornin to get u out of bed, use it when youre about to back out of something last minute, use it when you’re at your darkest. It’s got a little bit of light in it. Don’t forget to put your feet in the grass … Mind

YUNGBLUD

66,420 просмотров • 2 лет назад

This is the power of VFX and AI now.. Creating volumetric effects in AI and then using AfterEffects and Premiere to layer and edit + Topaz Labs to upscale, you can visually achieve the same effects that would have taken me A LOT longer in Cinema4D/Blender. This is really amazing, only because if I can do this now with what we have, imagine where it will be in 6-mo 🔥 it will only get better. Soon we’ll be able to do a lot more within 3D environments with gaussian splats and volumetric effects. It won’t be long after that before Cinema, blender and others integrate gaussian splats and generative prompting directly into the software design and render process. At that point things are going to get REALLY BADASS! I’m chillin tonight, finally a night off lol. But tomorrow I’ll show you guys how I did this ❤️
0:53

This is the power of VFX and AI now.. Creating volumetric effects in AI and then using AfterEffects and Premiere to layer and edit + Topaz Labs to upscale, you can visually achieve the same effects that would have taken me A LOT longer in Cinema4D/Blender. This is really amazing, only because if I can do this now with what we have, imagine where it will be in 6-mo 🔥 it will only get better. Soon we’ll be able to do a lot more within 3D environments with gaussian splats and volumetric effects. It won’t be long after that before Cinema, blender and others integrate gaussian splats and generative prompting directly into the software design and render process. At that point things are going to get REALLY BADASS! I’m chillin tonight, finally a night off lol. But tomorrow I’ll show you guys how I did this ❤️

Dustin Hollywood

19,760 просмотров • 8 месяцев назад

Claude just became a craacked video game designer. With the launch of Unreal Engine's MCP server last week, you can now build entire video games just by talking to Claude. I spent the past few days building with it, and I'm telling you, this is going to forever change how video games get made and who gets to make them. In this video I show you exactly how to set up the Unreal Engine MCP yourself and run through three demos: building a full playable city, cloning a real city from Google Earth, and creating custom buildings in Blender. Here's the agent harness I mention too: Intro What I built in a few hours Setting up the Unreal MCP server Fixing the port 8000 connection issue The agent harness that avoids the pitfalls Demo 1: Building a city with City Sample Demo 2: Cloning a real city from Google Earth with Cesium Demo 3: Custom buildings with Blender headless Outro
20:25

Claude just became a craacked video game designer. With the launch of Unreal Engine's MCP server last week, you can now build entire video games just by talking to Claude. I spent the past few days building with it, and I'm telling you, this is going to forever change how video games get made and who gets to make them. In this video I show you exactly how to set up the Unreal Engine MCP yourself and run through three demos: building a full playable city, cloning a real city from Google Earth, and creating custom buildings in Blender. Here's the agent harness I mention too: Intro What I built in a few hours Setting up the Unreal MCP server Fixing the port 8000 connection issue The agent harness that avoids the pitfalls Demo 1: Building a city with City Sample Demo 2: Cloning a real city from Google Earth with Cesium Demo 3: Custom buildings with Blender headless Outro

Pat Simmons

529,204 просмотров • 1 месяц назад

✨ I can now generate 3d assets for my drone sim at directly from Cursor (sponsor of #vibejam) I need buildings that you'd see in a war torn city, like warehouses in ruins, broken down abandoned houses, bombed out bridges etc. Nano Banana Pro or 2 can generate them really well and then you can put them in an image-to-3d model and you get a GLB or FBX That one you can then import into your Three.js game, the models might be big though, in my case like 16MB, so I ask it to compress it and make it more low poly so it loads fast ThreeJS then loads the individual GLBs on page load and puts them in my drone sim somewhere randomly, I think I should remove some of the grass and match the sandy color of the ruins though to make it fit in more
0:20

✨ I can now generate 3d assets for my drone sim at directly from Cursor (sponsor of #vibejam) I need buildings that you'd see in a war torn city, like warehouses in ruins, broken down abandoned houses, bombed out bridges etc. Nano Banana Pro or 2 can generate them really well and then you can put them in an image-to-3d model and you get a GLB or FBX That one you can then import into your Three.js game, the models might be big though, in my case like 16MB, so I ask it to compress it and make it more low poly so it loads fast ThreeJS then loads the individual GLBs on page load and puts them in my drone sim somewhere randomly, I think I should remove some of the grass and match the sandy color of the ruins though to make it fit in more

@levelsio

134,777 просмотров • 3 месяцев назад

𝗗𝗼𝗿𝗺𝗮𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆 𝗩𝗶𝗲𝘄𝗲𝗿: Because I almost always have some gear with me—a drone, a mirrorless camera, or at least a phone—I can capture scenes on the spur of the moment. Here I am freely flying through 3D Gaussian Splats scenes trained from these impromptu captures. It has been several years now since I've developed a real passion for 3D scanning, photogrammetry, and—for the last two and a half years—radiance fields. We actively use these technologies on a professional level at Dpt. , but this is also a personal passion of mine. I love capturing scenes, places, people, moments in time—memories. I enjoy the process of doing it; yes, capturing several hundreds of photos at a time, going in circles around a 'subject' for 15 minutes—all of which can drive my family nuts when they're with me. I have fun pre-processing, aligning, and using datasets to finally see those memories form and then be able to explore them freely in real-time. This week, Meta announced Hyperscape during this year's Meta Connect event… "𝘈𝘯𝘥 𝘴𝘱𝘦𝘢𝘬𝘪𝘯𝘨 𝘰𝘧 𝘱𝘳𝘦𝘴𝘦𝘯𝘤𝘦, 𝘸𝘦’𝘳𝘦 𝘪𝘮𝘱𝘳𝘰𝘷𝘪𝘯𝘨 𝘵𝘩𝘢𝘵, 𝘵𝘰𝘰. 𝘞𝘦’𝘳𝘦 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘵𝘰 𝘣𝘳𝘪𝘯𝘨 𝘱𝘩𝘰𝘵𝘰𝘳𝘦𝘢𝘭𝘪𝘴𝘵𝘪𝘤 𝘴𝘱𝘢𝘤𝘦𝘴 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦 𝘮𝘦𝘵𝘢𝘷𝘦𝘳𝘴𝘦, 𝘦𝘯𝘢𝘣𝘭𝘪𝘯𝘨 𝘢 𝘱𝘳𝘰𝘧𝘰𝘶𝘯𝘥 𝘯𝘦𝘸 𝘸𝘢𝘺 𝘵𝘰 𝘣𝘦 𝘵𝘰𝘨𝘦𝘵𝘩𝘦𝘳 𝘪𝘯 𝘴𝘱𝘢𝘤𝘦𝘴 𝘵𝘩𝘢𝘵 𝘭𝘰𝘰𝘬 𝘢𝘯𝘥 𝘧𝘦𝘦𝘭 𝘭𝘪𝘬𝘦 𝘺𝘰𝘶’𝘳𝘦 𝘱𝘩𝘺𝘴𝘪𝘤𝘢𝘭𝘭𝘺 𝘵𝘩𝘦𝘳𝘦—𝘸𝘦 𝘤𝘢𝘭𝘭 𝘪𝘵 𝘏𝘺𝘱𝘦𝘳𝘴𝘤𝘢𝘱𝘦." …it's exciting to see major players like Meta pushing the boundaries of immersive experiences. Their announcement of Hyperscape resonates deeply with the work I've been doing and my passion for capturing and recreating photorealistic environments and memories. It feels like we're all moving toward a future where the lines between the physical and digital worlds blur, allowing us to share spaces and moments in unprecedented ways. I'm thrilled to be contributing my own explorations to this ever-evolving field. The attached video is a screen recording of myself exploring and flying through volumetric captures—dormant memories—in real-time using an app I crafted for this purpose. The first part shows me moving from one memory to another (btw, this works in tethered VR), and in the second part of the video at , I explore two memories simultaneously, rendering two 3D Gaussian Splats of the same location onto two monitors. #gaussiansplatting #radiancefield #digitaltwin #hyperscape #memories
2:51

𝗗𝗼𝗿𝗺𝗮𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆 𝗩𝗶𝗲𝘄𝗲𝗿: Because I almost always have some gear with me—a drone, a mirrorless camera, or at least a phone—I can capture scenes on the spur of the moment. Here I am freely flying through 3D Gaussian Splats scenes trained from these impromptu captures. It has been several years now since I've developed a real passion for 3D scanning, photogrammetry, and—for the last two and a half years—radiance fields. We actively use these technologies on a professional level at Dpt. , but this is also a personal passion of mine. I love capturing scenes, places, people, moments in time—memories. I enjoy the process of doing it; yes, capturing several hundreds of photos at a time, going in circles around a 'subject' for 15 minutes—all of which can drive my family nuts when they're with me. I have fun pre-processing, aligning, and using datasets to finally see those memories form and then be able to explore them freely in real-time. This week, Meta announced Hyperscape during this year's Meta Connect event… "𝘈𝘯𝘥 𝘴𝘱𝘦𝘢𝘬𝘪𝘯𝘨 𝘰𝘧 𝘱𝘳𝘦𝘴𝘦𝘯𝘤𝘦, 𝘸𝘦’𝘳𝘦 𝘪𝘮𝘱𝘳𝘰𝘷𝘪𝘯𝘨 𝘵𝘩𝘢𝘵, 𝘵𝘰𝘰. 𝘞𝘦’𝘳𝘦 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘵𝘰 𝘣𝘳𝘪𝘯𝘨 𝘱𝘩𝘰𝘵𝘰𝘳𝘦𝘢𝘭𝘪𝘴𝘵𝘪𝘤 𝘴𝘱𝘢𝘤𝘦𝘴 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦 𝘮𝘦𝘵𝘢𝘷𝘦𝘳𝘴𝘦, 𝘦𝘯𝘢𝘣𝘭𝘪𝘯𝘨 𝘢 𝘱𝘳𝘰𝘧𝘰𝘶𝘯𝘥 𝘯𝘦𝘸 𝘸𝘢𝘺 𝘵𝘰 𝘣𝘦 𝘵𝘰𝘨𝘦𝘵𝘩𝘦𝘳 𝘪𝘯 𝘴𝘱𝘢𝘤𝘦𝘴 𝘵𝘩𝘢𝘵 𝘭𝘰𝘰𝘬 𝘢𝘯𝘥 𝘧𝘦𝘦𝘭 𝘭𝘪𝘬𝘦 𝘺𝘰𝘶’𝘳𝘦 𝘱𝘩𝘺𝘴𝘪𝘤𝘢𝘭𝘭𝘺 𝘵𝘩𝘦𝘳𝘦—𝘸𝘦 𝘤𝘢𝘭𝘭 𝘪𝘵 𝘏𝘺𝘱𝘦𝘳𝘴𝘤𝘢𝘱𝘦." …it's exciting to see major players like Meta pushing the boundaries of immersive experiences. Their announcement of Hyperscape resonates deeply with the work I've been doing and my passion for capturing and recreating photorealistic environments and memories. It feels like we're all moving toward a future where the lines between the physical and digital worlds blur, allowing us to share spaces and moments in unprecedented ways. I'm thrilled to be contributing my own explorations to this ever-evolving field. The attached video is a screen recording of myself exploring and flying through volumetric captures—dormant memories—in real-time using an app I crafted for this purpose. The first part shows me moving from one memory to another (btw, this works in tethered VR), and in the second part of the video at , I explore two memories simultaneously, rendering two 3D Gaussian Splats of the same location onto two monitors. #gaussiansplatting #radiancefield #digitaltwin #hyperscape #memories

Hugues Bruyère

16,304 просмотров • 1 год назад

JUST IN: Elon Musk says Americans should mobilize in response to the execution of Peanut the Squirrel, relates the incident to John Wick. "Go out there and vote... for Peanut," Musk said. "How can it be that we live in America, supposedly land of the free and the government can barge into your home with guns." "If you resist, you're gonna get shot. Then [they] take your pets and execute them. And if they can do that to your pets, what do you think they can do to you?" "I think this should really get people out there mobilized." "I hope people just go out there and vote, for Peanut, man. If nothing else. Just vote."
3:23

JUST IN: Elon Musk says Americans should mobilize in response to the execution of Peanut the Squirrel, relates the incident to John Wick. "Go out there and vote... for Peanut," Musk said. "How can it be that we live in America, supposedly land of the free and the government can barge into your home with guns." "If you resist, you're gonna get shot. Then [they] take your pets and execute them. And if they can do that to your pets, what do you think they can do to you?" "I think this should really get people out there mobilized." "I hope people just go out there and vote, for Peanut, man. If nothing else. Just vote."

Collin Rugg

2,517,815 просмотров • 1 год назад

Becoming Towa 👾 One of the coolest parts of Kig is the pure freedom—the ability to drop my everyday self and step straight into a character I love. For a little while, I get to live as my favorite fantasy persona 🤩 I always try to honor the original character—their vibe, their story, their essence—while adding my own twist. It’s like bringing them to life through my lens 🔎 But the real magic? 🪄 Once I’m in character, I can make them do anything I imagine. Their world becomes my playground, and that creative freedom is what makes Kig so addictive 💖
0:36

Becoming Towa 👾 One of the coolest parts of Kig is the pure freedom—the ability to drop my everyday self and step straight into a character I love. For a little while, I get to live as my favorite fantasy persona 🤩 I always try to honor the original character—their vibe, their story, their essence—while adding my own twist. It’s like bringing them to life through my lens 🔎 But the real magic? 🪄 Once I’m in character, I can make them do anything I imagine. Their world becomes my playground, and that creative freedom is what makes Kig so addictive 💖

Fleur

18,663 просмотров • 8 месяцев назад