NeuroModern @NeuroModern

If AI saw the world as we do, it wouldn't be LLM, it would be AGI. Currently, it can't even animate a 3D hand model because it doesn't understand how to insert a bone inside.

The bottleneck of agent development is that LLM is a text-based model. When you stream a screen or screenshots to it, it first converts them to text. Where work with space, volumes, animation , and thousands of 3D objects is required, it won't detect errors.

The GLSL shader that do a cyberpunk style volumetric pixel particles trail. shadertoy.com/view/f32XDw - extruding Z shadertoy.com/view/fX2XDw - extruding -Z #glsl #shader #postFX #shaderToy #WebGL

"MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer" TL;DR: learns a continuous mesh latent space and generates vertices and connectivity in parallel with flow matching, producing quality 3D meshes up to 18× faster than autoregressive.

Introducing #Rodin Gen-2.5🚀 🔥World’s 1st 10 MILLION polygon #3D GenAI — down to skin microstructures. 1️⃣1M-poly in 4s 2️⃣Adaptive thinking effort - just like LLMs 3️⃣3D-native textures, no blind spot 4️⃣Batch up to 10 results 💥Manual BANG to Parts & more... 🚨$1 for first mo!

Microsoft has released a 4B parameter model that turns any image into a 3D asset in 3 seconds. It uses a new geometry format called O-Voxel that converts to a textured mesh in under 100ms on CUDA. Outputs GLB files with full PBR textures, ready for Blender, Unity, and Unreal. 100% Open Source.

D-Rex by NVIDIA. photorealistic digital humans that move and look correct under any lighting condition. - built on EVA +Cosmos DiffusionRenderer - supports facial expression,3D pose control under novel HDR lighting. so, Hollywood-grade relightable characters without the usual technical headaches of traditional 3D rendering pipelines. vcai.mpi-inf.mpg.de/projects/DRex/

【革命】動画から3Dモーションを抽出！ComfyUIの新機能が凄すぎる 動画から人物の動きを抜き出し、高品質な3Dアニメーションに変換できる「Mocap Surgeon」が登場しました！✨ 注目の神機能はこちら： ・Jitter Filtering：動きのガタつきを数理的に除去し、滑らかさを実現 ・Slerp（球面線形補間）：関節のねじれを自然にブレンドして手動修正が可能 ・Time-Travel Onion Skinning：前後の軌跡を表示し、完璧なポージングをサポート 作成したモーションデータは.glb形式で書き出してControlNetへ流用できます。実写ベースのAIアニメ制作や、3Dキャラクター動画の量産が驚くほど効率化されます！🔥 #ComfyUI #MocapSurgeon

Looks good. Should to test it

adam @adamdotnew

2 months ago

Introducing Adam: AI CAD Harness

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GPT2 + Seedance 2.0 → Capoeira Sequence. Testing for more complex choreography. (Full workflow + prompts in thread) PROCESS: + GPT2: Choreography diagram + GPT2: Camera direction diagram + Midjourney: Setting base image + Seedance 2.0 Omni-Ref: Video gen Didn't follow 100%. Probably needs more than a 15s gen.

📢📢📢introducing 𝐏𝐨𝐰𝐞𝐫 𝐅𝐨𝐚𝐦 A 3D representation that can be ray traced or rasterized in real time, with NO COMPROMISE in quality. - Project: powerfoam.github.io - arXiv: arxiv.org/abs/2604.24994 Rasterized at 3DGS-class FPS Ray traced at Radiant Foam speeds

A bunch of folks have been building machine learning models that turn a photograph into a 3D environment made of Gaussian splats (read: blobs of color floating in space). Cool technology & a very admirable effort. But marketing these as "world models" seems wrong. More accurate would be to say that they are a riff on the broader class of image-conditioned 3D generators, with a somewhat different flavor of condition image and output representation. As far as world modeling, they don't make great predictions about how the natural world looks or behaves. (Even for, say, a chair behind a table.) Again: I love the technology. Super cool creative stuff. I don't love the marketing and hype around it.

Microsoft presents World-R1 Reinforcing 3D Constraints for Text-to-Video Generation paper: huggingface.co/papers/2604.24…

@keenanisalive Just add splat2mesh to your pipeline

Took it further with @omma_ai, (@splinetool ) now it works on video, and everything working in a Web Browser. Drop a video, Depth Anything v2 calculates the depth map frame by frame, and Three.js renders a fully lit 3D mesh in real time. Depth estimation on video in the browser +Automatic baking pass + Dynamic lighting reacting to the geometry #vibecoding #threejs #webgl

Neural motion synthesis in Threejs/WebGPU, even runs on my 7y old Iphone! try it here: motionsynth.sweriko.com sauce: github.com/sweriko/ai4ani…

🚀We just released Asset Harvester, an image-to-3D model and end-to-end pipeline that extracts real object assets from autonomous driving videos! 🌐 Website: research.nvidia.com/labs/sil/proje… 💻 Code: github.com/nvidia/asset-h… [1/5] #AssetHarvester #AVSimulation #WorldModel #AutonomousDriving

The @playcanvas team has solved collision for 3D Gaussian splats. Install splat-transform via NPM to get a CLI tool + library that can output high quality voxel-based collision. Here you can see a splat navigated in first person mode with voxel rendering toggled on/off. 🧵

I’ve been building a lightweight, WebGL/WebGPU-powered alternative to AutoCAD - Full DXF Pipeline: Seamless import and export modules. - Workspace Support: Full implementation of Viewport, Layout, Paper space, and Model space. - Draw Tools: polylines, colors, HATCH etc.

📢Face Anything: 4D Face Reconstruction from Any Image Sequence Transformer model for 4D face reconstruction and dense tracking: - predict canonical facial coordinates per pixel - tracking as reconstruction in canonical space - geometry + correspondences in one forward pass Key idea: a shared canonical space across frames - correspondences as nearest neighbors - no motion or deformation estimation Stable geometry and tracking, even under large expressions and viewpoint changes - check out our results! 🌐 kocasariumut.github.io/FaceAnything ▶️ youtu.be/wSGHpAscp0Y Great work by @UmutKocasa4344, @SGiebenhain, @richard_o_shaw