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How can we reconstruct 3D objects under *extreme lighting variations*? 🌤️🌥️🌆🌃🌉 How about ... 🤔 appearance embedding? BUT it cannot capture view-dependent appearances. 🤔 inverse rendering? BUT it suffers from ambiguities. 💡 Our idea: Relighting comes to the rescue!

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Jia-Bin Huang

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33,151 просмотров • 1 год назад •via X (Twitter)

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But what about hair? Dynamic 3D Gaussian Splatting can impressively reconstruct it. I find it fascinating how accurately a bunch of ellipsoids can capture the complexity of hair. Amazing!
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But what about hair? Dynamic 3D Gaussian Splatting can impressively reconstruct it. I find it fascinating how accurately a bunch of ellipsoids can capture the complexity of hair. Amazing!

MrNeRF

30,608 просмотров • 1 год назад

Omg 🙈 The camera man’s worried lol someone told him about the post and he’s asked to come round and see me for a chat” But I think I can handle it 🤔I’ll let you know how it goes 🫣
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Omg 🙈 The camera man’s worried lol someone told him about the post and he’s asked to come round and see me for a chat” But I think I can handle it 🤔I’ll let you know how it goes 🫣

Miss Sally ™ 🦋

10,630 просмотров • 2 месяцев назад

COVER 6 is trending right now, but how do you play it? Everyone knows what it looks like on paper, but how does it play out on the field? This is a great play to study. How are you coaching it? Who gets a plus and who gets a minus? I've sent this to 3 different NFL DCs—they all gave different answers!! Curious to see how others view it. I'll post my breakdown later. Coaching is about details, but which details? Remember, We cannot give players complex algorithms to solve - rule and keys need to be simple and repeatable to hold up under pressure and unscripted looks. Assign 3 players most responsible for this play 1,2,3. This is a fun 1!!
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COVER 6 is trending right now, but how do you play it? Everyone knows what it looks like on paper, but how does it play out on the field? This is a great play to study. How are you coaching it? Who gets a plus and who gets a minus? I've sent this to 3 different NFL DCs—they all gave different answers!! Curious to see how others view it. I'll post my breakdown later. Coaching is about details, but which details? Remember, We cannot give players complex algorithms to solve - rule and keys need to be simple and repeatable to hold up under pressure and unscripted looks. Assign 3 players most responsible for this play 1,2,3. This is a fun 1!!

Adam Archuleta

29,184 просмотров • 6 месяцев назад

“Black Walker” dogman in motion...🧐🤔👹👹 Apparently this video was taken in Smuggler’s Notch, VT, back in 2009. I’ve seen it claimed as coming from a few different sources, but as you can see from the video, this is NOT just “look at that obvious AI slop!!” but genuine wildlife footage worthy of study. What do you make of its gait, appearance, and how it interacts within the environment?
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“Black Walker” dogman in motion...🧐🤔👹👹 Apparently this video was taken in Smuggler’s Notch, VT, back in 2009. I’ve seen it claimed as coming from a few different sources, but as you can see from the video, this is NOT just “look at that obvious AI slop!!” but genuine wildlife footage worthy of study. What do you make of its gait, appearance, and how it interacts within the environment?

UFO mania

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Introducing Kaleido💮 from AI at Meta — a universal generative neural rendering engine for photorealistic, unified object and scene view synthesis. Kaleido is built on a simple but powerful design philosophy: 3D perception is a form of visual common sense. Following this idea, we formulate rendering purely as a sequence-to-sequence generation problem, successfully unifying neural rendering with the architecture principles behind modern language and video models. Unlike traditional neural rendering methods, Kaleido learns 3D purely in a data-driven way, without explicit 3D representations or structures. It acquires spatial understanding directly through large-scale video pretraining, then multi-view 3D data finetuning, inspired by how LLMs acquire textual common sense from large corpora before specialising in domains like coding. Through extensive ablations, we progressively modernised the architecture design and training strategies and tackled key scaling challenges in sequence-to-sequence generative rendering, arriving at a design that’s simple, versatile, and scalable. Kaleido significantly outperforms prior generative models in few-view settings, and remarkably is the first zero-shot generative method matches InstantNGP-level rendering quality in multi-view settings. We view Kaleido also as an alternative step towards world modeling that flexibly spans a spectrum of “realities": with many views, it faithfully reconstructs grounded reality; with fewer views, it imagines plausible unseen details. 🔗 Explore more results and paper:
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Introducing Kaleido💮 from AI at Meta — a universal generative neural rendering engine for photorealistic, unified object and scene view synthesis. Kaleido is built on a simple but powerful design philosophy: 3D perception is a form of visual common sense. Following this idea, we formulate rendering purely as a sequence-to-sequence generation problem, successfully unifying neural rendering with the architecture principles behind modern language and video models. Unlike traditional neural rendering methods, Kaleido learns 3D purely in a data-driven way, without explicit 3D representations or structures. It acquires spatial understanding directly through large-scale video pretraining, then multi-view 3D data finetuning, inspired by how LLMs acquire textual common sense from large corpora before specialising in domains like coding. Through extensive ablations, we progressively modernised the architecture design and training strategies and tackled key scaling challenges in sequence-to-sequence generative rendering, arriving at a design that’s simple, versatile, and scalable. Kaleido significantly outperforms prior generative models in few-view settings, and remarkably is the first zero-shot generative method matches InstantNGP-level rendering quality in multi-view settings. We view Kaleido also as an alternative step towards world modeling that flexibly spans a spectrum of “realities": with many views, it faithfully reconstructs grounded reality; with fewer views, it imagines plausible unseen details. 🔗 Explore more results and paper:

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At the ruins of the ancient Quarries of Cusa also known as Cave di Cusa, in Italy, we see limestone cylindrical columns ranging from over 6 feet in diameter to 12 feet! Modern eyes would instantly relate how they were cut to heavy machinery. But they obviously didn’t have such equipment, so how did they do it!? 🤔
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At the ruins of the ancient Quarries of Cusa also known as Cave di Cusa, in Italy, we see limestone cylindrical columns ranging from over 6 feet in diameter to 12 feet! Modern eyes would instantly relate how they were cut to heavy machinery. But they obviously didn’t have such equipment, so how did they do it!? 🤔

Ancient Hypotheses

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I can teach people how to pronounce “Chagee” and “Mixue” sebab cina ma, but when it comes to CHA-TRA-MUE the Thai tea brand, I need help from the locals hahahahahaha so now we know, “MUE” is not “mwe” or “miu”, it’s like ME in MEnang!
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I can teach people how to pronounce “Chagee” and “Mixue” sebab cina ma, but when it comes to CHA-TRA-MUE the Thai tea brand, I need help from the locals hahahahahaha so now we know, “MUE” is not “mwe” or “miu”, it’s like ME in MEnang!

Ceddy

394,631 просмотров • 1 год назад

Most chiral molecules arise from carbons being bonded to 4 different atoms, which are called sterocenters. The makes the molecule have a different mirror image that cannot arise from simple rotation. But, you can have chiral molecules not from stereocenters. You can have chirality that doesn't come from a single point in the molecule. It comes from some global property. The classic example is helicene, which doesn't have any stereocenters, but has chirality because of hits helical structure. This means you cannot capture this molecule with a graph, and thus SMILES or a string representation cannot capture this. Of course natural language comes to the rescue (just say in words if it's left-handed or right-handed helix), but it's an interesting failure mode for viewing molecules as just a graph. Another example of a molecule with helical chirality is DNA. DNA is actually chiral in two ways, which is kind of confusing. It has both helical structure and stereocenters. You won't find the stereocenters ever flipped, but left-handed helical DNA can exist (called Z-DNA). Interestingly, making the flipped stereocenter of DNA could be part of an entire mirror organism (mirror RNA, DNA, AAs, sugars) that would then be potentially invisible to our immune systems. This has been recently proposed as a "mechanism" for how a runaway AI system could cause harm to Earth. I find it to be a pretty tedious and difficult way to cause harm, but it is intellectually cool. Anyway - this came up in a PhD defense and I have a lot of arcane knowledge about this I wanted to dump.
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Most chiral molecules arise from carbons being bonded to 4 different atoms, which are called sterocenters. The makes the molecule have a different mirror image that cannot arise from simple rotation. But, you can have chiral molecules not from stereocenters. You can have chirality that doesn't come from a single point in the molecule. It comes from some global property. The classic example is helicene, which doesn't have any stereocenters, but has chirality because of hits helical structure. This means you cannot capture this molecule with a graph, and thus SMILES or a string representation cannot capture this. Of course natural language comes to the rescue (just say in words if it's left-handed or right-handed helix), but it's an interesting failure mode for viewing molecules as just a graph. Another example of a molecule with helical chirality is DNA. DNA is actually chiral in two ways, which is kind of confusing. It has both helical structure and stereocenters. You won't find the stereocenters ever flipped, but left-handed helical DNA can exist (called Z-DNA). Interestingly, making the flipped stereocenter of DNA could be part of an entire mirror organism (mirror RNA, DNA, AAs, sugars) that would then be potentially invisible to our immune systems. This has been recently proposed as a "mechanism" for how a runaway AI system could cause harm to Earth. I find it to be a pretty tedious and difficult way to cause harm, but it is intellectually cool. Anyway - this came up in a PhD defense and I have a lot of arcane knowledge about this I wanted to dump.

Andrew White 🐦‍⬛

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Friends, today I want to speak to you from the heart. You can choose to look at Ukraine’s struggle with compassion — feeling the weight of unimaginable suffering its people are enduring. Or you can look at it with pragmatic clarity — realizing that supporting Ukraine is not just charity, but an investment in our shared safety and the future of our world. Everyone has their own perspective. But there is one truth that cannot be denied: we must stand together, and we must give everything we can. It is no longer about blaming hesitant leaders or pointing to failed diplomacy. That time has passed. Now it is about us. About you and me. About ordinary people who understand that the future depends on our choices today. I ask you — not just to donate, but to make a statement. To say with your action: I refuse to stand aside. I choose to protect the future. I choose to help. Find your reason. Make it personal. And let’s show the world what unity truly means. Together, we will endure. Together, we will win
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Friends, today I want to speak to you from the heart. You can choose to look at Ukraine’s struggle with compassion — feeling the weight of unimaginable suffering its people are enduring. Or you can look at it with pragmatic clarity — realizing that supporting Ukraine is not just charity, but an investment in our shared safety and the future of our world. Everyone has their own perspective. But there is one truth that cannot be denied: we must stand together, and we must give everything we can. It is no longer about blaming hesitant leaders or pointing to failed diplomacy. That time has passed. Now it is about us. About you and me. About ordinary people who understand that the future depends on our choices today. I ask you — not just to donate, but to make a statement. To say with your action: I refuse to stand aside. I choose to protect the future. I choose to help. Find your reason. Make it personal. And let’s show the world what unity truly means. Together, we will endure. Together, we will win

Дмитро (Ісус) Щипков

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As a mature adult, we should make a decision when we face two or more options. Before we make decision, we can spend some time to question it and do a lot of research. But after we make decision, we must try our best to work on our goal and contribute to it. If we feel it is not going as we expected or we don't want to study how to improve it. We can make a decision to stop it instead of complaining. Because complaining cannot resolve anything. It will bring a lot of negative energy in our body. If we spread our complaint to the community or to put family or our colleagues , we can only let them feel we are very weak who always need attention and we are not a good person to cooperate or get along. When we in Pi Network, complaint cannot help but probably bring bad luck. If we don't like it, we have an option to quit it. But if we don't want to quit we should study and catch up! Community don't need a negative voice. Community need pioneers who knows what is appreciation and actively participate to empower Pi Network! Look at the following four videos. These pioneers are good examples! Pi Network #WhatIDoForPi #PiGCV #Pioneer
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As a mature adult, we should make a decision when we face two or more options. Before we make decision, we can spend some time to question it and do a lot of research. But after we make decision, we must try our best to work on our goal and contribute to it. If we feel it is not going as we expected or we don't want to study how to improve it. We can make a decision to stop it instead of complaining. Because complaining cannot resolve anything. It will bring a lot of negative energy in our body. If we spread our complaint to the community or to put family or our colleagues , we can only let them feel we are very weak who always need attention and we are not a good person to cooperate or get along. When we in Pi Network, complaint cannot help but probably bring bad luck. If we don't like it, we have an option to quit it. But if we don't want to quit we should study and catch up! Community don't need a negative voice. Community need pioneers who knows what is appreciation and actively participate to empower Pi Network! Look at the following four videos. These pioneers are good examples! Pi Network #WhatIDoForPi #PiGCV #Pioneer

Doris Yin 东方紫莲🪷

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truth will come out no matter how much you try to hide it. and the good thing about karma, is, that it comes back— good & bad 🙇‍♀️ them who exude nothing but authenticity & kindness. you can never put these pure souls down. we will always stand with, by, and for donny & belle. 🫂
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truth will come out no matter how much you try to hide it. and the good thing about karma, is, that it comes back— good & bad 🙇‍♀️ them who exude nothing but authenticity & kindness. you can never put these pure souls down. we will always stand with, by, and for donny & belle. 🫂

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❔ A Question for Our Community 👇 Is the market ready to recover this quarter, or is it still too early to expect a rebound? 📈 Recent news about easing trade tensions has given the markets a small dose of confidence. But not everyone believes it’s enough to trigger a real trend shift. How do you see it, are we approaching a recovery, or is caution still the wiser move? 🤔 💬 Drop your thoughts below!

GT Protocol

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Jay Johnson was great to carve out some time in his day to chat with us, but we all knew that when the phone rang my guy was bouncing. As fate would have it, just about four minutes into our convo, he got a phone call from a recruit. Not sure who it was or how it went, but Jay was pretty pleased when he returned. #LSU

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78,533 просмотров • 2 месяцев назад

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.
0:12

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.

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🤔 “WE NEED YOU HOME” - Annie “The Poet” Guthrie chose that moment to plead for her mother’s return in Poetry? I HAVE SEEN THIS MOVIE BEFORE. I’m fairly sure I know how it ends. Only a few people would be aware The Ring Cam didn’t have a subscription. Let me explain how that works. If there is no subscription it won’t automatically upload to the cloud. If you have a subscription it will upload to the cloud BUT if you have access to the account you can delete it permanently instantly from the cloud. I hope I’m wrong on this but more importantly I hope Nancy Guthrie is ok. President Trump seems to indicate prior on AF1 that a resolution may be close..I have a feeling given our technology in 2026..we will know by tomorrow what transpired.

Johnny St.Pete

151,386 просмотров • 6 месяцев назад

Two weeks ago I fixed one of my teeth with algorithms I wrote a couple of years ago! I got hooked by 3D scanning when I started to work for a software shop in Zurich that was programming 3D computational geometry algorithms for denture scanning to produce crowns (and more). Back then, a typical reconstruction pipeline was like: scan the patient’s teeth using an intraoral scanner, reconstruct the surface mesh, design the restoration digitally, and finally mill the crown out of ceramic. We were working mostly with point clouds and meshes, but it wasn’t just math, it was craftsmanship translated into a digital process. Every micron mattered. You could literally see how a good algorithm meant a better fit in someone’s mouth. Gaussian Splatting isn’t about surface reconstruction, it’s about appearance reconstruction. It doesn’t care about explicit topology, it captures how light interacts with the scene. In a sense, it’s the opposite philosophy of the dental world: instead of modeling what the object is, it models how the object looks. 3D Gaussian Splatting enables applications like training self driving cars, teaching robots to understand their environment, creating virtual worlds, or monitoring real sites. It represents scenes as millions of small Gaussians rendered in real time without the need for meshes or textures. Coming from a world where precision geometry was everything, this shift felt natural. It’s still about reconstruction, but with a different goal: not manufacturing a perfect object, but reproducing how the world actually looks. Two weeks ago I got my first dental crown, made with the same software, reconstruction algorithms, and Swiss precision I once helped develop. I haven’t worked there in two years, but sitting in that chair and seeing the process from the other side was a proud moment. It reminded me why I love this field.
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Two weeks ago I fixed one of my teeth with algorithms I wrote a couple of years ago! I got hooked by 3D scanning when I started to work for a software shop in Zurich that was programming 3D computational geometry algorithms for denture scanning to produce crowns (and more). Back then, a typical reconstruction pipeline was like: scan the patient’s teeth using an intraoral scanner, reconstruct the surface mesh, design the restoration digitally, and finally mill the crown out of ceramic. We were working mostly with point clouds and meshes, but it wasn’t just math, it was craftsmanship translated into a digital process. Every micron mattered. You could literally see how a good algorithm meant a better fit in someone’s mouth. Gaussian Splatting isn’t about surface reconstruction, it’s about appearance reconstruction. It doesn’t care about explicit topology, it captures how light interacts with the scene. In a sense, it’s the opposite philosophy of the dental world: instead of modeling what the object is, it models how the object looks. 3D Gaussian Splatting enables applications like training self driving cars, teaching robots to understand their environment, creating virtual worlds, or monitoring real sites. It represents scenes as millions of small Gaussians rendered in real time without the need for meshes or textures. Coming from a world where precision geometry was everything, this shift felt natural. It’s still about reconstruction, but with a different goal: not manufacturing a perfect object, but reproducing how the world actually looks. Two weeks ago I got my first dental crown, made with the same software, reconstruction algorithms, and Swiss precision I once helped develop. I haven’t worked there in two years, but sitting in that chair and seeing the process from the other side was a proud moment. It reminded me why I love this field.

MrNeRF

290,202 просмотров • 9 месяцев назад