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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
List of recent advances for human avatars, including generation, reconstruction, and editing, etc.
| Date | Stars |
|---|---|
| 2026-07-24 | 276 |
| 2026-07-25 | 276 |
| 2026-07-28 | 276 |
| 2026-07-30 | 276 |
| 2026-08-06 | 276 |
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# Awesome Avatars [](https://github.com/sindresorhus/awesome) List of recent advances for human avatars, including generation, reconstruction, and editing, etc. If you find any missed paper, feel free to open an issue or PR. ## Table of Contents <!-- omit in toc --> <!-- - [Open-source Toolboxes and Foundation Models](#open-source-toolboxes-and-foundation-models) --> - [Awesome Avatars ](#awesome-avatars-) - [Avatar Generation](#avatar-generation) - [Per-subject Avatar Reconstruction](#per-subject-avatar-reconstruction) - [Generalizable Avatar Novel View Synthesis](#generalizable-avatar-novel-view-synthesis) - [Generalizable Avatar Mesh Reconstruction](#generalizable-avatar-mesh-reconstruction) - [Text-to-Avatar](#text-to-avatar) - [Avatar Interaction](#avatar-interaction) - [Motion Generation](#motion-generation) - [SMPL Estimation](#smpl-estimation) - [Dataset](#dataset) - [Aknowledgement](#aknowledgement) ### Avatar Generation - [Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations](https://arxiv.org/pdf/2204.08839.pdf) (ECCV 2022) [](https://github.com/nogu-atsu/ENARF-GAN) [](https://arxiv.org/pdf/2204.08839.pdf) [](https://github.com/nogu-atsu/ENARF-GAN) - [GENERATIVE NEURAL ARTICULATED RADIANCE FIELDS](https://arxiv.org/pdf/2206.14314.pdf) (NeurIPS 2022) [](https://github.com/alexanderbergman7/GNARF) [](https://arxiv.org/pdf/2206.14314.pdf) [](https://github.com/alexanderbergman7/GNARF) - [AvatarGen: a 3D Generative Model for Animatable Human Avatars](http://arxiv.org/abs/2208.00561) (arXiv 01/08/2022) [](https://github.com/jfzhang95/AvatarGen) [](http://arxiv.org/abs/2208.00561) - [EVA3D: Compositional 3D Human Generation from 2D Image Collections](https://arxiv.org/pdf/2210.04888.pdf) (ICLR 2023 Spotlight) [](https://github.com/hongfz16/EVA3D) [](https://arxiv.org/pdf/2210.04888.pdf) [](https://hongfz16.github.io/projects/EVA3D) - [AG3D: Learning to Generate 3D Avatars from 2D Image Collections](https://arxiv.org/pdf/2305.02312.pdf) (ICCV 2023) [](https://github.com/zj-dong/AG3D) [](https://arxiv.org/pdf/2305.02312.pdf) [](https://zj-dong.github.io/AG3D) - [Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors.](https://arxiv.org/abs/2302.01162) (ICCV 2023) [](https://github.com/X-zhangyang/Get3DHuman/) [](https://arxiv.org/abs/2302.01162) [](https://x-zhangyang.github.io/2023_Get3DHuman/) - [3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective.](https://arxiv.org/abs/2204.13096) (arXiv 2022) [](https://github.com/layumi/3D-Magic-Mirror) [](https://arxiv
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:91ac8e5f35cbdff4, topic:avatar, topic:text-to-3d, topic:motion-generation