https://physx-3d.github.io/
Code: https://github.com/ziangcao0312/PhysX
Demo video: https://www.youtube.com/watch?v=M5V_c0Duuy4&feature=youtu.be
Dataset: https://huggingface.co/datasets/Caoza/PhysX

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Existing 3D generation\nprimarily emphasizes geometries and textures while neglecting physical-grounded\nmodeling. Consequently, despite the rapid development of 3D generative models,\nthe synthesized 3D assets often overlook rich and important physical\nproperties, hampering their real-world application in physical domains like\nsimulation and embodied AI. As an initial attempt to address this challenge, we\npropose PhysX, an end-to-end paradigm for physical-grounded 3D asset\ngeneration. 1) To bridge the critical gap in physics-annotated 3D datasets, we\npresent PhysXNet - the first physics-grounded 3D dataset systematically\nannotated across five foundational dimensions: absolute scale, material,\naffordance, kinematics, and function description. In particular, we devise a\nscalable human-in-the-loop annotation pipeline based on vision-language models,\nwhich enables efficient creation of physics-first assets from raw 3D assets.2)\nFurthermore, we propose PhysXGen, a feed-forward framework for\nphysics-grounded image-to-3D asset generation, injecting physical knowledge\ninto the pre-trained 3D structural space. Specifically, PhysXGen employs a\ndual-branch architecture to explicitly model the latent correlations between 3D\nstructures and physical properties, thereby producing 3D assets with plausible\nphysical predictions while preserving the native geometry quality. Extensive\nexperiments validate the superior performance and promising generalization\ncapability of our framework. All the code, data, and models will be released to\nfacilitate future research in generative physical AI.","upvotes":44,"discussionId":"6878635e001546c83aa4f97d","projectPage":"https://physx-3d.github.io/","githubRepo":"https://github.com/ziangcao0312/PhysX","githubRepoAddedBy":"user","ai_summary":"PhysX addresses the gap in physical-grounded 3D asset generation by introducing PhysXNet, a physics-annotated dataset, and PhysXGen, a feed-forward framework that integrates physical knowledge into 3D generation.","ai_keywords":["physics-grounded 3D asset generation","PhysXNet","physics-annotated dataset","vision-language models","human-in-the-loop annotation","PhysXGen","feed-forward framework","dual-branch architecture","latent correlations","physical predictions","geometry quality"],"githubStars":351},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"6039478ab3ecf716b1a5fd4d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6039478ab3ecf716b1a5fd4d/_Thy4E7taiSYBLKxEKJbT.jpeg","isPro":true,"fullname":"taesiri","user":"taesiri","type":"user"},{"_id":"62fc8cf7ee999004b5a8b982","avatarUrl":"/avatars/6c5dda9e58747054a989f077a078f3dc.svg","isPro":false,"fullname":"Zhaoxi Chen","user":"FrozenBurning","type":"user"},{"_id":"62ab1ac1d48b4d8b048a3473","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1656826685333-62ab1ac1d48b4d8b048a3473.png","isPro":false,"fullname":"Ziwei Liu","user":"liuziwei7","type":"user"},{"_id":"65af6f6b52e1b2aae437af2e","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65af6f6b52e1b2aae437af2e/sFC98zLL_ZPS9fvZFi01W.jpeg","isPro":false,"fullname":"Ziang Cao","user":"Caoza","type":"user"},{"_id":"64ef30fb0de94d31b7921175","avatarUrl":"/avatars/d4f4c7be460befc1cedec13bbf9db972.svg","isPro":false,"fullname":"pan","user":"pldeqiushui","type":"user"},{"_id":"636daf995aaed143cd6c7447","avatarUrl":"/avatars/efee0647aeba593cd51550cf09e5a4df.svg","isPro":false,"fullname":"ZenT","user":"ZenT","type":"user"},{"_id":"64c1c77c245c55a21c6f5a13","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64c1c77c245c55a21c6f5a13/d9zlSksf3TxWpBbb-r0fd.jpeg","isPro":false,"fullname":"Reza Sayar","user":"Reza2kn","type":"user"},{"_id":"67dd0b83e297b83ef664f62e","avatarUrl":"/avatars/3e36b02b111a9988f4c2ba5f32ea0613.svg","isPro":false,"fullname":"Zixian Liu","user":"StoreBlank","type":"user"},{"_id":"633e570be7d5ce7bfe037a53","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/633e570be7d5ce7bfe037a53/zV8ULv4Mu7YIGZ8D3JtmK.jpeg","isPro":false,"fullname":"Zhaocheng Liu","user":"zhaocheng","type":"user"},{"_id":"64f6f65879aef257d2e91666","avatarUrl":"/avatars/803358d93d08985c9a8f0f914e56535d.svg","isPro":false,"fullname":"Long Zhuo","user":"Zolo97","type":"user"},{"_id":"652965773a416e1f2173443b","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/652965773a416e1f2173443b/y9MB8YgHzbwCXAc4EI9T3.jpeg","isPro":true,"fullname":"Yuhao Dong","user":"THUdyh","type":"user"},{"_id":"636e931444a18bc3c013ddc4","avatarUrl":"/avatars/7f704a38558c572b23986857159f6e58.svg","isPro":false,"fullname":"Hengwei","user":"hwbian","type":"user"}],"acceptLanguages":["*"],"dailyPaperRank":2}">