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The result of reprocessing an old OSMO360 data with the latest my workflow (Dual SAM3 + Seam mask + Cubemap reduction). See in 4K 😀 (The lower shrine in previous post leads to the upper shrine on the summit in Oyama) ---Steps--- 1. DJI OSMO360 10min walk ("RockSteady off")...

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kotohibi

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19,889 просмотров • 27 дней назад •via X (Twitter)

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I'm again reprocessing an old OSMO360 data with the latest my workflow (Dual SAM3 + Seam mask). See in 4K. --Steps-- 1. OSMO 360 10min walk ("RockSteady off") 2. Frame extraction and masking in my 3DGS tool : 613 images 3. SfM in Metashape std. with the masks -------- The sparse point cloud looks better than previous my workflow.😀
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I'm again reprocessing an old OSMO360 data with the latest my workflow (Dual SAM3 + Seam mask). See in 4K. --Steps-- 1. OSMO 360 10min walk ("RockSteady off") 2. Frame extraction and masking in my 3DGS tool : 613 images 3. SfM in Metashape std. with the masks -------- The sparse point cloud looks better than previous my workflow.😀

kotohibi

22,371 просмотров • 1 месяц назад

With DJI AVATA360 and 3DGS, let's be a bird😀. (4K) Tools : * AVATA360 : 10min fly, DLog * my 3DGS tools : frame extraction, SAM3 masking, cubemap conversion (now on sale) * Metashape std : SfM * LFS : 3DGS train with MRNF (no cleaning) * Postshot : Camera work
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With DJI AVATA360 and 3DGS, let's be a bird😀. (4K) Tools : * AVATA360 : 10min fly, DLog * my 3DGS tools : frame extraction, SAM3 masking, cubemap conversion (now on sale) * Metashape std : SfM * LFS : 3DGS train with MRNF (no cleaning) * Postshot : Camera work

kotohibi

15,621 просмотров • 3 месяцев назад

My 3DGS tool [Extract Sharpest Frame] will support to generate masks by free text with SAM3 in next version. Now final testing. The flexible masking improves the result of SfM and 3DGS.😀 #3DGS #SAM3 #Meta
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My 3DGS tool [Extract Sharpest Frame] will support to generate masks by free text with SAM3 in next version. Now final testing. The flexible masking improves the result of SfM and 3DGS.😀 #3DGS #SAM3 #Meta

kotohibi

21,541 просмотров • 3 месяцев назад

An entire cape 3DGS by AVATA360 & AprilTag [workflow] 12min fly -> my tool (Frame extraction&SAM3 masking) -> Metashape std -> my tool(Cubemap&Size estimation) -> LFS (5M splats & no clean) I will check the accuracy of size later on. See my guide how to make this😀
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An entire cape 3DGS by AVATA360 & AprilTag [workflow] 12min fly -> my tool (Frame extraction&SAM3 masking) -> Metashape std -> my tool(Cubemap&Size estimation) -> LFS (5M splats & no clean) I will check the accuracy of size later on. See my guide how to make this😀

kotohibi

22,471 просмотров • 2 месяцев назад

This is a result of spherical SfM by Metashape std. It is very stable, accurate, fast and even no failure. Best match with AVATA 360, I think😀 -------------- Location : Miho dam (See the comment) Video length : 14:34 flight by DJI AVATA360 Frame extraction and masking : 875 images by my 3DGS tools ------------- Move to 3DGS train.💪
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This is a result of spherical SfM by Metashape std. It is very stable, accurate, fast and even no failure. Best match with AVATA 360, I think😀 -------------- Location : Miho dam (See the comment) Video length : 14:34 flight by DJI AVATA360 Frame extraction and masking : 875 images by my 3DGS tools ------------- Move to 3DGS train.💪

kotohibi

20,505 просмотров • 1 месяц назад

One more DJI AVATA360 3DGS is here ! (See in 4K video) The data was taken by イナダユウキ,too (*Skilled drone artist*) I'm horner to collaboration with him😀 "AVATA360->Metashape(Tie point clean)->my tools->(LFS)LichtFeld Studio(MRNF)" All around view is possible thank to drone. And I didn't even do any cleanup thank to LFS MRNF. #AVATA360 #3DGS #LFS #DJI
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One more DJI AVATA360 3DGS is here ! (See in 4K video) The data was taken by イナダユウキ,too (*Skilled drone artist*) I'm horner to collaboration with him😀 "AVATA360->Metashape(Tie point clean)->my tools->(LFS)LichtFeld Studio(MRNF)" All around view is possible thank to drone. And I didn't even do any cleanup thank to LFS MRNF. #AVATA360 #3DGS #LFS #DJI

kotohibi

46,240 просмотров • 5 месяцев назад

3DGS of DJI AVATA360 is here again(See in 4K video) Title : Mountain of stonecutting This data was taken by Taka🍥🍥 (*Skilled drone artist*) I'm honored to collaborate with him again😀. "AVATA360->Metashape ->my tools->(LFS) LichtFeld Studio (MRNF)" Using a 360-degree drone, you can capture the entire location and take a virtual tour😄. #AVATA360 #3DGS #LFS #DJI
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3DGS of DJI AVATA360 is here again(See in 4K video) Title : Mountain of stonecutting This data was taken by Taka🍥🍥 (*Skilled drone artist*) I'm honored to collaborate with him again😀. "AVATA360->Metashape ->my tools->(LFS) LichtFeld Studio (MRNF)" Using a 360-degree drone, you can capture the entire location and take a virtual tour😄. #AVATA360 #3DGS #LFS #DJI

kotohibi

21,927 просмотров • 4 месяцев назад

3DGS of DJI AVATA360 is here again! (See in 4K videos) Title : A Ruined School This data was taken by Taka🍥🍥 (*Skilled drone artist*) I'm honored to collaborate with him😀 "AVATA360->Metashape (Tie point clean) ->my tools->(LFS) LichtFeld Studio (MRNF)" This scene involves frequent changes in exposure due to entering and exiting a building. Unfortunately, there is many floaters around the windows, but LFS output a pretty good quality even without cleaning because this is a so difficult scene for 3DGS. #AVATA360 #3DGS #LFS #DJI
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3DGS of DJI AVATA360 is here again! (See in 4K videos) Title : A Ruined School This data was taken by Taka🍥🍥 (*Skilled drone artist*) I'm honored to collaborate with him😀 "AVATA360->Metashape (Tie point clean) ->my tools->(LFS) LichtFeld Studio (MRNF)" This scene involves frequent changes in exposure due to entering and exiting a building. Unfortunately, there is many floaters around the windows, but LFS output a pretty good quality even without cleaning because this is a so difficult scene for 3DGS. #AVATA360 #3DGS #LFS #DJI

kotohibi

22,773 просмотров • 4 месяцев назад

If you are still in doubt about the power of 3DGS for immersive you should check this world in VRChat . It is called Spatialography and is one of the best showcases of #GaussianSplatting in #VR available in my list of apps, tools and tech demos to experience Gaussian Splatting on Quest or #VisionPro. 📢 To get the list just subscribe to my newsletter (link at the top of my profile). The list will be available for ONLY 5 more days, after that, it's GONE... why? Because I am launching something BIGGER, much more in-depth, that is going to be much "harder" to get
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If you are still in doubt about the power of 3DGS for immersive you should check this world in VRChat . It is called Spatialography and is one of the best showcases of #GaussianSplatting in #VR available in my list of apps, tools and tech demos to experience Gaussian Splatting on Quest or #VisionPro. 📢 To get the list just subscribe to my newsletter (link at the top of my profile). The list will be available for ONLY 5 more days, after that, it's GONE... why? Because I am launching something BIGGER, much more in-depth, that is going to be much "harder" to get

Gabriele Romagnoli

15,554 просмотров • 7 месяцев назад

The job of a marketing engineer is to pull signals into one system and turn them into pipeline. Here is an example of an SEO/AEO workflow: 1) Read Google Search Console 2) Pull the keyword data from Ahrefs or SEMrush 3) Look in the CMS to find out if the post is already there 4) Put the keywords in order by search volume and buyer intent 5) Read the pages that are at the top of the results now 6) Add the founder's point of view 7) Write the post, the meta title and the internal links Then the agent sends all of it to a person for approval. The agent can only do this if you connect it to your live business data and your tools. "The tools are going to keep changing, but the workflow is the thing to actually learn." Learn the workflow first.
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The job of a marketing engineer is to pull signals into one system and turn them into pipeline. Here is an example of an SEO/AEO workflow: 1) Read Google Search Console 2) Pull the keyword data from Ahrefs or SEMrush 3) Look in the CMS to find out if the post is already there 4) Put the keywords in order by search volume and buyer intent 5) Read the pages that are at the top of the results now 6) Add the founder's point of view 7) Write the post, the meta title and the internal links Then the agent sends all of it to a person for approval. The agent can only do this if you connect it to your live business data and your tools. "The tools are going to keep changing, but the workflow is the thing to actually learn." Learn the workflow first.

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PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:

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Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:
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Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:

Faheem Ullah

11,984 просмотров • 5 месяцев назад

Europe Builds. Others Profit. 3D Gaussian Splatting (3DGS) is the perfect case study. It reflects both Europe’s brilliance and its chronic inability to turn that brilliance into business. Almost everything that made 3DGS possible was born in Europe. From the early breakthroughs in point-based rasterization in Switzerland to the cumulative research from Austria, Greece, and Germany executed in France, Europe built the foundation. No other continent can match that level of scientific collaboration and intellectual strength. The LichtFeld Studio bounty later confirmed it: the biggest performance leaps came straight out of European labs. The science was here. The innovation was here. The talent was here. But the business was not. When 3DGS exploded, my inbox filled with messages from US-based companies, not from Europe. In the United States, Luma AI and Polycam turned the paper into products within weeks. They did not wait for funding programs or EU consortia. They simply built. Then came China, which not only caught up in research but quickly outpaced everyone in commercialization. XGRID, DJI, and many others built thriving businesses around what Europe invented. Today, most 3DGS papers come from Chinese institutions rather than European ones. Meanwhile, the usual giants such as Meta, NVIDIA, Google, Netflix, and Tesla continue to iterate, integrate, and push forward. A thriving ecosystem of startups like World Labs leverages this technology to create new products and markets. The innovation cycle in the United States and China is fast, relentless, and market-driven. Europe, in contrast, remains bureaucratic and slow. We fund excellence and celebrate publications, but we rarely ship, even though some small startups are trying to change the status quo. Our researchers create the breakthroughs; others create the successful products. Until Europe finds a way to bridge the gap between laboratories and markets, it will remain the world’s research and development department: brilliant, underpaid, and underleveraged. Research is Europe’s comfort zone. Execution must become its strength. Video: One of my dynamic 3D Gaussian implementations based on the paper "Representing Long Volumetric Video with Temporal Gaussian Hierarchy."
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Europe Builds. Others Profit. 3D Gaussian Splatting (3DGS) is the perfect case study. It reflects both Europe’s brilliance and its chronic inability to turn that brilliance into business. Almost everything that made 3DGS possible was born in Europe. From the early breakthroughs in point-based rasterization in Switzerland to the cumulative research from Austria, Greece, and Germany executed in France, Europe built the foundation. No other continent can match that level of scientific collaboration and intellectual strength. The LichtFeld Studio bounty later confirmed it: the biggest performance leaps came straight out of European labs. The science was here. The innovation was here. The talent was here. But the business was not. When 3DGS exploded, my inbox filled with messages from US-based companies, not from Europe. In the United States, Luma AI and Polycam turned the paper into products within weeks. They did not wait for funding programs or EU consortia. They simply built. Then came China, which not only caught up in research but quickly outpaced everyone in commercialization. XGRID, DJI, and many others built thriving businesses around what Europe invented. Today, most 3DGS papers come from Chinese institutions rather than European ones. Meanwhile, the usual giants such as Meta, NVIDIA, Google, Netflix, and Tesla continue to iterate, integrate, and push forward. A thriving ecosystem of startups like World Labs leverages this technology to create new products and markets. The innovation cycle in the United States and China is fast, relentless, and market-driven. Europe, in contrast, remains bureaucratic and slow. We fund excellence and celebrate publications, but we rarely ship, even though some small startups are trying to change the status quo. Our researchers create the breakthroughs; others create the successful products. Until Europe finds a way to bridge the gap between laboratories and markets, it will remain the world’s research and development department: brilliant, underpaid, and underleveraged. Research is Europe’s comfort zone. Execution must become its strength. Video: One of my dynamic 3D Gaussian implementations based on the paper "Representing Long Volumetric Video with Temporal Gaussian Hierarchy."

MrNeRF

159,855 просмотров • 10 месяцев назад

// The Harmony of Pose-to-Pose and Layered Methods Explained (Continued) 1. In my previous post, I demonstrated the evolution of a standing roundhouse kick starting with Pose-to-Pose and transitioning into the Layered Method. 2. for this Hulk animation, I've opted for a different presentation format to ensure absolute clarity in showcasing the process. 3. the first 4 steps are how I animate 99.99999% of the time whether I'm working on AAA Games, Films, mobile or TV shows // Step #1 - I pose my character using 5 key poses (1 & 5 are duplicates. // Step #2 - I set the timing by moving ALL KEYS on the timeline until my eyes see something that works // Step #3 - I start adjusting my timing & F-curves. // Step #4 - I start using the Layered Method drop any questions you have in the comments 👇, I will answer them when I have a moment and a ☕️ in hand! ;)
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// The Harmony of Pose-to-Pose and Layered Methods Explained (Continued) 1. In my previous post, I demonstrated the evolution of a standing roundhouse kick starting with Pose-to-Pose and transitioning into the Layered Method. 2. for this Hulk animation, I've opted for a different presentation format to ensure absolute clarity in showcasing the process. 3. the first 4 steps are how I animate 99.99999% of the time whether I'm working on AAA Games, Films, mobile or TV shows // Step #1 - I pose my character using 5 key poses (1 & 5 are duplicates. // Step #2 - I set the timing by moving ALL KEYS on the timeline until my eyes see something that works // Step #3 - I start adjusting my timing & F-curves. // Step #4 - I start using the Layered Method drop any questions you have in the comments 👇, I will answer them when I have a moment and a ☕️ in hand! ;)

John Animates

18,873 просмотров • 3 лет назад

This is Segment Anything for #GaussianSplatting running on the web... but it comes with a caveat. This is SplatEdit, a powerful #3DGS editing software built on top of SuperSplat. Last week, it added a segmentation selection feature powered by Segment Anything, running locally in the browser. Just upload a splat, click on the "mug" icon and select entire objects in the scene. The problem is that everything after the object is also selected (as you can see in the video). To fix that, just use the brush tool to subtract the unwanted portion of the scene (hold CTRL while brushing). I feel we are getting closer and closer to having more editing control on these amazing fuzzy clouds 😉
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This is Segment Anything for #GaussianSplatting running on the web... but it comes with a caveat. This is SplatEdit, a powerful #3DGS editing software built on top of SuperSplat. Last week, it added a segmentation selection feature powered by Segment Anything, running locally in the browser. Just upload a splat, click on the "mug" icon and select entire objects in the scene. The problem is that everything after the object is also selected (as you can see in the video). To fix that, just use the brush tool to subtract the unwanted portion of the scene (hold CTRL while brushing). I feel we are getting closer and closer to having more editing control on these amazing fuzzy clouds 😉

Gabriele Romagnoli

14,767 просмотров • 2 месяцев назад

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)
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This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

Lovis Odin

58,841 просмотров • 11 месяцев назад

I FINALLY managed to create a point cloud animation 💪 Here is how I did it using #GaussianSplatting, #Blender and 2 add-ons from KIRI Engine - 3D Scanner App . Creating point cloud animations has always been a dream of mine (inspired by masters like ), but the tech to create the point clouds and visual effects was always a huge barrier. Then I discovered these 2 Blender add-ons from Kiri engine after I had a chat with Jack Wang in my podcast, and it changed everything: 1- Create a splat with any tool or app you want 2- Install the free "Point Animate" add-on in Blender 3- Drag the 2 .ply you want to morph from --> to 4- Set source and destination in the add-on side panel At this point you could play around with various settings like noise scatter, noise intensity, wind and more. If you want to combine with the splat as well you can get also the 3DGS render to add cool dissolving effects, fancy lighting and really get the most out of your scans. If you end up using it please tag me. I am curious to see what much more skilled people than me can put together 😉
1:08

I FINALLY managed to create a point cloud animation 💪 Here is how I did it using #GaussianSplatting, #Blender and 2 add-ons from KIRI Engine - 3D Scanner App . Creating point cloud animations has always been a dream of mine (inspired by masters like ), but the tech to create the point clouds and visual effects was always a huge barrier. Then I discovered these 2 Blender add-ons from Kiri engine after I had a chat with Jack Wang in my podcast, and it changed everything: 1- Create a splat with any tool or app you want 2- Install the free "Point Animate" add-on in Blender 3- Drag the 2 .ply you want to morph from --> to 4- Set source and destination in the add-on side panel At this point you could play around with various settings like noise scatter, noise intensity, wind and more. If you want to combine with the splat as well you can get also the 3DGS render to add cool dissolving effects, fancy lighting and really get the most out of your scans. If you end up using it please tag me. I am curious to see what much more skilled people than me can put together 😉

Gabriele Romagnoli

10,392 просмотров • 1 год назад

Here are weeks of work done in minutes: A year ago, this would have been impossible. Today, we can finish an entire workflow using AI in minutes. I recorded the step-by-step process of solving the following problem: • Connecting to Paul Graham's website • Downloading his last 3 essays • Summarizing them The best part: I didn't write a single line of code. Instead, I used n8n.io. They released an integration with Langchain and gave me access to their beta version to try. They are also sponsoring this post. I'll use a conversational agent in the video to generate fake summaries. You can include these agents in any workflow. They work everywhere. If you want to try and build a workflow, check this out: The future looks insane. Do you think coding will become less prominent with AI and automation in the next decade?
14:56

Here are weeks of work done in minutes: A year ago, this would have been impossible. Today, we can finish an entire workflow using AI in minutes. I recorded the step-by-step process of solving the following problem: • Connecting to Paul Graham's website • Downloading his last 3 essays • Summarizing them The best part: I didn't write a single line of code. Instead, I used n8n.io. They released an integration with Langchain and gave me access to their beta version to try. They are also sponsoring this post. I'll use a conversational agent in the video to generate fake summaries. You can include these agents in any workflow. They work everywhere. If you want to try and build a workflow, check this out: The future looks insane. Do you think coding will become less prominent with AI and automation in the next decade?

Santiago

218,618 просмотров • 2 лет назад

As a Christian, I felt deeply connected to thousands of years of history during today's live-streamed tour of the Holy Land in Jerusalem. Paying reverence at such a place was a great privilege, especially reciting Psalm 23 in the City of David. If you missed our candid tour you can catch up on X, FB and YT. 1 The Lord is my shepherd; I shall not want. 2 He makes me lie down in green pastures. He leads me beside still waters. 3 He restores my soul. He leads me in paths of righteousness for his name's sake. 4 Even though I walk through the valley of the shadow of death, I will fear no evil, for you are with me; your rod and your staff, they comfort me. 5 You prepare a table before me in the presence of my enemies; you anoint my head with oil; my cup overflows. 6 Surely goodness and mercy shall follow me all the days of my life, and I shall dwell in the house of the Lord forever.
3:37

As a Christian, I felt deeply connected to thousands of years of history during today's live-streamed tour of the Holy Land in Jerusalem. Paying reverence at such a place was a great privilege, especially reciting Psalm 23 in the City of David. If you missed our candid tour you can catch up on X, FB and YT. 1 The Lord is my shepherd; I shall not want. 2 He makes me lie down in green pastures. He leads me beside still waters. 3 He restores my soul. He leads me in paths of righteousness for his name's sake. 4 Even though I walk through the valley of the shadow of death, I will fear no evil, for you are with me; your rod and your staff, they comfort me. 5 You prepare a table before me in the presence of my enemies; you anoint my head with oil; my cup overflows. 6 Surely goodness and mercy shall follow me all the days of my life, and I shall dwell in the house of the Lord forever.

Rukshan Fernando

50,633 просмотров • 11 месяцев назад