# megvii-research/IJCAI2023-CoNR

<https://repo.masters-masters.com/en/repos/megvii-research/IJCAI2023-CoNR>

[Home](https://repo.masters-masters.com/en) › [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) › [IJCAI2023-CoNR](https://repo.masters-masters.com/en/repos/megvii-research/IJCAI2023-CoNR)

megvii-research/IJCAI2023-CoNR has 807 stars on GitHub. Its RepoMasters card: Beta tier. IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets

| Field | Value |
| --- | --- |
| Owner | [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) |
| Stars | 807 |
| Forks | 63 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | anime, computer-graphics, computer-vision, deep-learning, pytorch |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [megvii-research/IJCAI2023-CoNR](https://github.com/megvii-research/IJCAI2023-CoNR) |

## Repository

IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.