InfiniHuman: Infinite 3D Human Creation with Precise Control

• URL: http://arxiv.org/abs/2510.11650v1
• Date: Mon, 13 Oct 2025 17:29:55 GMT
• Title: InfiniHuman: Infinite 3D Human Creation with Precise Control
• Authors: Yuxuan Xue, Xianghui Xie, Margaret Kostyrko, Gerard Pons-Moll,
• Abstract summary: InfiniHuman is a framework that distills existing foundation models to produce richly annotated human data.<n>InfiniHumanData contains 111K identities spanning unprecedented diversity.<n>InfiniHumanGen enables fast, realistic, and precisely controllable avatar generation.
• Score: 25.397126937363012
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Generating realistic and controllable 3D human avatars is a long-standing challenge, particularly when covering broad attribute ranges such as ethnicity, age, clothing styles, and detailed body shapes. Capturing and annotating large-scale human datasets for training generative models is prohibitively expensive and limited in scale and diversity. The central question we address in this paper is: Can existing foundation models be distilled to generate theoretically unbounded, richly annotated 3D human data? We introduce InfiniHuman, a framework that synergistically distills these models to produce richly annotated human data at minimal cost and with theoretically unlimited scalability. We propose InfiniHumanData, a fully automatic pipeline that leverages vision-language and image generation models to create a large-scale multi-modal dataset. User study shows our automatically generated identities are undistinguishable from scan renderings. InfiniHumanData contains 111K identities spanning unprecedented diversity. Each identity is annotated with multi-granularity text descriptions, multi-view RGB images, detailed clothing images, and SMPL body-shape parameters. Building on this dataset, we propose InfiniHumanGen, a diffusion-based generative pipeline conditioned on text, body shape, and clothing assets. InfiniHumanGen enables fast, realistic, and precisely controllable avatar generation. Extensive experiments demonstrate significant improvements over state-of-the-art methods in visual quality, generation speed, and controllability. Our approach enables high-quality avatar generation with fine-grained control at effectively unbounded scale through a practical and affordable solution. We will publicly release the automatic data generation pipeline, the comprehensive InfiniHumanData dataset, and the InfiniHumanGen models at https://yuxuan-xue.com/infini-human.

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