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AniGen

AniGen

By VAST AI Research
AniGen, short for “Unified S3 Fields for Animatable 3D Asset Generation,” is a two-stage image-to-3D framework that generates not just geometry, but also articulation structure and skinning weights from a single image. The README says it represents shape, skeleton, and skin as mutually consistent shared fields, and is designed to output a rigged mesh, skeleton visualization, and processed conditioning image. It is presented as outperforming sequential baselines on rig validity and animation quality, generalizing across animals, humanoids, and machinery, and the repo includes pretrained checkpoints, a Gradio demo, and training code.
New 3d Gen 1
Released: April 13, 2026

Overview

AniGen is VAST-AI’s unified 3D generation framework for creating fully rigged, animate-ready 3D assets from a single image. It jointly generates shape, skeleton, and skinning in one pipeline, aiming to produce meshes that can be imported into standard 3D workflows and driven by off-the-shelf motion data for animation, simulation, and embodied AI use cases.

🖌️3D🎥3D animations🎲3D objects🎮3D characters

About VAST AI Research

VAST is a leading AI-powered 3D content creation startup that develops Tripo, a generative 3D foundation model capable of creating high-quality textured 3D models from text or image inputs in seconds. Serving 4M+ creators and 700+ enterprise clients including Tencent, Sony, and Stability AI, VAST aims to democratize 3D content creation through its Tripo Studio platform and open-source research contributions.

Industry: Artificial Intelligence
Location: Hong Kong, CN
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Tools using AniGen

No tools found for this model yet.

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Last updated: April 16, 2026
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