Update README.md

README.md

@@ -95,7 +95,7 @@ Neural Head Avatar arXiv'23](https://research.nvidia.com/labs/lpr/one-shot-avata
 |ICCV 2019|[Everybody Dance Now](https://github.com/carolineec/EverybodyDanceNow)|UC Berkeley|[Code](https://github.com/carolineec/EverybodyDanceNow)![Github stars](https://img.shields.io/github/stars/carolineec/EverybodyDanceNow.svg)![Github forks](https://img.shields.io/github/forks/carolineec/EverybodyDanceNow.svg)||
 |arXiv 2023|[Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://arxiv.org/pdf/2311.17117.pdf)|Alibaba Group|[Code](https://github.com/HumanAIGC/AnimateAnyone)![Github stars](https://img.shields.io/github/stars/HumanAIGC/AnimateAnyone.svg)![Github forks](https://img.shields.io/github/forks/HumanAIGC/AnimateAnyone.svg)||
 |CVPR 2024|[MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model](https://github.com/magic-research/magic-animate/blob/main/assets/preprint/MagicAnimate.pdf)|National University of Singapore|[Code](https://github.com/magic-research/magic-animate)![Github stars](https://img.shields.io/github/stars/magic-research/magic-animate.svg)![Github forks](https://img.shields.io/github/forks/magic-research/magic-animate.svg)||
-|arXiv 2024.03|[Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance](https://arxiv.org/pdf/2403.14781)|Nanjing University|[Code](https://github.com/fudan-generative-vision/champ)![Github stars](https://img.shields.io/github/stars/fudan-generative-vision/champ.svg)![Github forks](https://img.shields.io/github/forks/fudan-generative-vision/champ.svg)||
+|arXiv 2024|[Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance](https://arxiv.org/pdf/2403.14781)|Nanjing University|[Code](https://github.com/fudan-generative-vision/champ)![Github stars](https://img.shields.io/github/stars/fudan-generative-vision/champ.svg)![Github forks](https://img.shields.io/github/forks/fudan-generative-vision/champ.svg)||
 |Github repo|[MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising](https://github.com/TMElyralab/MuseV)|Tencent TMElyralab|[Code](https://github.com/TMElyralab/MuseV)![Github stars](https://img.shields.io/github/stars/TMElyralab/MuseV.svg)![Github forks](https://img.shields.io/github/forks/TMElyralab/MuseV.svg)||
 |Github repo|[MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation](https://github.com/TMElyralab/MusePose)|Tencent|[Code](https://github.com/TMElyralab/MusePose)![Github stars](https://img.shields.io/github/stars/TMElyralab/MusePose.svg)![Github forks](https://img.shields.io/github/forks/TMElyralab/MusePose.svg) ⭐||
 |arXiv 2024|[ControlNeXt: Powerful and Efficient Control for Image and Video Generation](https://pbihao.github.io/projects/controlnext/index.html)|The Chinese University of Hong Kong|[Code](https://github.com/dvlab-research/ControlNeXt)![Github stars](https://img.shields.io/github/stars/dvlab-research/ControlNeXt.svg)![Github forks](https://img.shields.io/github/forks/dvlab-research/ControlNeXt.svg)|Stable Video diffusion|