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For this simulation I used the algorithm I invented, to generate a mesh around a set of physics particles. The particles are used as bones. Skinned mesh math runs on GPU, updates the mesh, then it's rendered, without any data sent GPU->CPU. Marching cubes would be easier though.

Zolden

11,245 subscribers

258,545 görüntüleme • 1 yıl önce •via X (Twitter)

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The Water Museum profil fotoğrafı

The Water Museum1 yıl önce

Cut them in half

Rainmaker profil fotoğrafı

Rainmaker2 yıl önce

Can Machine Learning beat the market? Check out this post on my free Substack where I share code and commentary for an XGBoost model and a Random Forest model that both deliver powerful performances.

Diogenes of Cyberborea profil fotoğrafı

Diogenes of Cyberborea1 yıl önce

does this simulation support VR?

Zolden profil fotoğrafı

Zolden1 yıl önce

What's the point, there's no haptic gloves yet, that would let us touch those.

David Shapiro ⏩ profil fotoğrafı

David Shapiro ⏩1 yıl önce

Anime physics lol

Zolden profil fotoğrafı

Zolden1 yıl önce

Yeah, the physics aren't extremely boobies-alike/ Probably an artist could modify the physics properties until the simulation imitates real boobies more realistically.

огурец мозга profil fotoğrafı

огурец мозга1 yıl önce

Хе-хе сиська

Ilia Prokhorov (DemensDeum) profil fotoğrafı

Ilia Prokhorov (DemensDeum)1 yıl önce

art

Carlos Pinheiro profil fotoğrafı

Carlos Pinheiro1 yıl önce

I think the nipples should get hard, too, with all of this interaction 😁

EDG profil fotoğrafı

EDG1 yıl önce

Joder, buenas tetas.

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I've been working on a shader to generate particles from the surface of a mesh. It's turning out really cool so far

I've been working on a shader to generate particles from the surface of a mesh. It's turning out really cool so far

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Anderson Mancini

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One Unreal Engine Setting I have wanted to use, and now have a nice demo of... is: "Was Component Recently Rendered" to find out if a CPU Mesh Actor🟩 is culled from the camera view. When they are culled, I convert them into GPU Niagara🟥(pink)... without anyone knowing! UE5 Tips - Purple🟪 are static ISMs!

One Unreal Engine Setting I have wanted to use, and now have a nice demo of... is: "Was Component Recently Rendered" to find out if a CPU Mesh Actor🟩 is culled from the camera view. When they are culled, I convert them into GPU Niagara🟥(pink)... without anyone knowing! UE5 Tips - Purple🟪 are static ISMs!

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I am releasing "Skinned Mesh Constraint Builder". Avatars like Milltina are weight painted in such a way that attaching objects or particles to the body isn't as straightforward as parenting to one bone. Use this tool to attach a GameObject to a polygon, like weight painting.

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I improved the VRChat cloth simulation, now it is actually rendered as a mesh and finally can handle self collision for proper folds. Also I moved the simulation to CRTs so it kinda works for non friends(the simulation is on the avatar!). But the collision still requires cameras.

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More on the system used for the Eyebrows. As shown before, a curve is projected on the face, and then the eyebrow mesh is wrapped onto the curve. Unlike before, there is now a second layer of projection that guarantees the eyebrow mesh stays above the surface of the face even when there are ridges between the points of the curve, as seen here where the eyebrow can be moved below the brow ridge without clipping. Also there's a basic setup for procedurally controlling the taper of the eyebrow with math (in this case, a float curve node, but could be pure math, color ramp, etc.) #b3d

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aVersionOfReality

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[NeurIPS '24] DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation Abstract (excerpt) We introduce DreamMesh4D, a novel framework that combines mesh representation with sparse-controlled deformation technique to generate high-quality 4D object from a monocular video. To overcome the limitation of classical texture representation, we bind Gaussian splats to the surface of the triangular mesh for differentiable optimization of both the texture and mesh vertices. In particular, DreamMesh4D begins with a coarse mesh provided by a single image based 3D generation method. Sparse points are then uniformly sampled across the surface of the mesh, and are used to build a deformation graph to drive the motion of the 3D object for the sake of computational efficiency and providing additional constraint. For each step, transformations of sparse control points are predicted using a deformation network, and the mesh vertices as well as the bound surface Gaussians are deformed via a geometric skinning algorithm. The skinning algorithm is a hybrid approach combining LBS (linear blending skinning) and DQS (dual-quaternion skinning), mitigating drawbacks associated with both approaches. The static surface Gaussians and mesh vertices as well as the dynamic deformation network are learned via reference view photometric loss, score distillation loss as well as other regularization losses in a two-stage manner. Extensive experiments demonstrate that our method outperforms prior video-to-4D generation methods in terms of rendering quality and spatial-temporal consistency.

[NeurIPS '24] DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation Abstract (excerpt) We introduce DreamMesh4D, a novel framework that combines mesh representation with sparse-controlled deformation technique to generate high-quality 4D object from a monocular video. To overcome the limitation of classical texture representation, we bind Gaussian splats to the surface of the triangular mesh for differentiable optimization of both the texture and mesh vertices. In particular, DreamMesh4D begins with a coarse mesh provided by a single image based 3D generation method. Sparse points are then uniformly sampled across the surface of the mesh, and are used to build a deformation graph to drive the motion of the 3D object for the sake of computational efficiency and providing additional constraint. For each step, transformations of sparse control points are predicted using a deformation network, and the mesh vertices as well as the bound surface Gaussians are deformed via a geometric skinning algorithm. The skinning algorithm is a hybrid approach combining LBS (linear blending skinning) and DQS (dual-quaternion skinning), mitigating drawbacks associated with both approaches. The static surface Gaussians and mesh vertices as well as the dynamic deformation network are learned via reference view photometric loss, score distillation loss as well as other regularization losses in a two-stage manner. Extensive experiments demonstrate that our method outperforms prior video-to-4D generation methods in terms of rendering quality and spatial-temporal consistency.

MrNeRF

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Today I release new GPU Particle Volumes system and the GPU Snow Particle shaders for it! This snow shader can render hundreds of thousands of particles at the same time even on a weak GPU. It also supports VRC Light Volumes. Get it on my Booth or Patreon!

Today I release new GPU Particle Volumes system and the GPU Snow Particle shaders for it! This snow shader can render hundreds of thousands of particles at the same time even on a weak GPU. It also supports VRC Light Volumes. Get it on my Booth or Patreon!

RED_SIM

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Big news I found a way to convert Gaussian Splatting into a standard mesh while preserving all the visual advantages of Gaussian Splatting, such as reflections, shadows, and lighting that changes depending on the viewing angle. The result is excellent performance, even on an old laptop or a VR headset. And of course, the mesh can be animated like any regular 3D mesh, while still keeping the visual benefits of GS. I’ll soon show a full-body character animated using this technique.

Big news I found a way to convert Gaussian Splatting into a standard mesh while preserving all the visual advantages of Gaussian Splatting, such as reflections, shadows, and lighting that changes depending on the viewing angle. The result is excellent performance, even on an old laptop or a VR headset. And of course, the mesh can be animated like any regular 3D mesh, while still keeping the visual benefits of GS. I’ll soon show a full-body character animated using this technique.

Alex

37,137 görüntüleme • 2 ay önce

Millions of pounds worth of compensation could be owed by the government to thousands of women who have experienced complications due to mesh implants. The implants were used for decades as a quick fix to treat pelvic problems. Sharron Marney talks to Susanna Reid and Richard about the toxic reaction she had to the mesh.

Millions of pounds worth of compensation could be owed by the government to thousands of women who have experienced complications due to mesh implants. The implants were used for decades as a quick fix to treat pelvic problems. Sharron Marney talks to Susanna Reid and Richard about the toxic reaction she had to the mesh.

Good Morning Britain

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I've just uploaded a simple #raylib example application for viewing animation data on a skinned mesh: It has (what I consider) the minimum rendering required to actually evaluate skinned animation: basic lighting, shadow maps, SSAO, and a grid shader.

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MrNeRF

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Coach “Moose” Mahmood

12,503 görüntüleme • 4 ay önce

This is a (kind of messy) example of how I do it! Basically you make a copy of the piece (in this case the sleeve) and then put it in the shirt deformer. Then pose the model and adjust the glue as needed! I use a shortcut to hide the mesh/glue display to paint glue easier~

This is a (kind of messy) example of how I do it! Basically you make a copy of the piece (in this case the sleeve) and then put it in the shirt deformer. Then pose the model and adjust the glue as needed! I use a shortcut to hide the mesh/glue display to paint glue easier~

cillia ☆

54,141 görüntüleme • 1 yıl önce

The MiLard who recently observed that “stones used for pelting can’t be termed as dangerous weapons” should be made to stand behind a mesh and given a demo. Nothing like first hand experience to clear any misconceptions!

The MiLard who recently observed that “stones used for pelting can’t be termed as dangerous weapons” should be made to stand behind a mesh and given a demo. Nothing like first hand experience to clear any misconceptions!

Nandini

259,441 görüntüleme • 1 yıl önce

Started my own version of the Dragon ball sparkling zero super speed effect. I think they used a separate mesh for it, but I am doing it differently. I'll keep adding to it!

Started my own version of the Dragon ball sparkling zero super speed effect. I think they used a separate mesh for it, but I am doing it differently. I'll keep adding to it!

Ryan V. Pergent

60,932 görüntüleme • 1 yıl önce

gpu kernels on on my computer writing other gpu kernels for the same chip to simulate 100ks of particles, each an agent + neural network sensing K bg fields and allocating energy to A actions, at 1000s steps/s, for thermodynamic artificial life i think maybe not a bubble lads

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Fraser Price

32,595 görüntüleme • 14 gün önce

PowerInfer - a high-speed inference engine for deploying LLMs locally. Just came across this super interesting project on speeding up inference. It's not MoE but it's a simple approach that exploits the high locality in LLM inference to design a GPU-CPU hybrid inference engine. Hot-activated neurons are preloaded onto the GPU for fast access, while cold-activated neurons (the majority) are computed on the CPU. This approach significantly reduces GPU memory demands and CPU-GPU data transfer. It achieves an average token generation rate of 13.20 tokens/s, with a peak of 29.08 tokens/s, across various LLMs on a single NVIDIA RTX 4090 GPU. It's on only 18% lower than that achieved by a top-tier server-grade A100 GPU. It also significantly outperforms llama.cpp by up to 11.69x while retaining model accuracy. There is a lot more innovation around inference that's coming fast. Really encouraged by the study on sparse computation to enhance the computational efficiency of LLMs. It's now possible to use PowerInfer with Llama 2 and Faclon 40B. Mistral-7B support is coming soon!

PowerInfer - a high-speed inference engine for deploying LLMs locally. Just came across this super interesting project on speeding up inference. It's not MoE but it's a simple approach that exploits the high locality in LLM inference to design a GPU-CPU hybrid inference engine. Hot-activated neurons are preloaded onto the GPU for fast access, while cold-activated neurons (the majority) are computed on the CPU. This approach significantly reduces GPU memory demands and CPU-GPU data transfer. It achieves an average token generation rate of 13.20 tokens/s, with a peak of 29.08 tokens/s, across various LLMs on a single NVIDIA RTX 4090 GPU. It's on only 18% lower than that achieved by a top-tier server-grade A100 GPU. It also significantly outperforms llama.cpp by up to 11.69x while retaining model accuracy. There is a lot more innovation around inference that's coming fast. Really encouraged by the study on sparse computation to enhance the computational efficiency of LLMs. It's now possible to use PowerInfer with Llama 2 and Faclon 40B. Mistral-7B support is coming soon!

elvis

261,622 görüntüleme • 2 yıl önce

The way Source does decal projections on meshes is insane. They literally generate a subset overlay of the mesh being impacted on the spot. I want to try and do something like this with Roblox's EditableMesh feature.

The way Source does decal projections on meshes is insane. They literally generate a subset overlay of the mesh being impacted on the spot. I want to try and do something like this with Roblox's EditableMesh feature.

Max ¯\_(ツ)_/¯

12,015 görüntüleme • 1 yıl önce

【Magica Cloth 2 Showcase】 I remade all the hair and cloth physics with Magica Cloth 2 for an upcoming collab! Motion: DancerVTuber 海夏青 Outfit: MONVIE_VRC Sharing a few quick tips: ✨Simple single-layer skirts → Mesh Cloth for the smoothest, silkiest movement! ✨Complex pleats or multi-layer skirts → Bone Cloth, but if bones aren’t dense enough and leg clipping happens, switch Connection Mode to Mesh-related options. It creates mesh-like links between bones and fixes most clipping instantly. ✨For simple double-layer skirts, you can also try applying Mesh Cloth to each layer separately and enable Self-Collision ✨Small frills, ribbons, or ties without bones → slap Mesh Cloth on them too. Trust me, when these tiny details move naturally, the whole outfit feels insanely satisfying! ✨If you have a guitar on you like I do, add colliders to the guitar too! That way it presses the skirt down naturally without clipping, just like real life ✨ If you run into stubborn clipping that’s hard to fix, try using Magica Wind Zone to blow the cloth in one direction, it might work like magic!

【Magica Cloth 2 Showcase】 I remade all the hair and cloth physics with Magica Cloth 2 for an upcoming collab! Motion: DancerVTuber 海夏青 Outfit: MONVIE_VRC Sharing a few quick tips: ✨Simple single-layer skirts → Mesh Cloth for the smoothest, silkiest movement! ✨Complex pleats or multi-layer skirts → Bone Cloth, but if bones aren’t dense enough and leg clipping happens, switch Connection Mode to Mesh-related options. It creates mesh-like links between bones and fixes most clipping instantly. ✨For simple double-layer skirts, you can also try applying Mesh Cloth to each layer separately and enable Self-Collision ✨Small frills, ribbons, or ties without bones → slap Mesh Cloth on them too. Trust me, when these tiny details move naturally, the whole outfit feels insanely satisfying! ✨If you have a guitar on you like I do, add colliders to the guitar too! That way it presses the skirt down naturally without clipping, just like real life ✨ If you run into stubborn clipping that’s hard to fix, try using Magica Wind Zone to blow the cloth in one direction, it might work like magic!

chacha🎸

173,821 görüntüleme • 3 ay önce