Papers with Code 아카이브
Portrait Animation
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The person is looking directly at the camera to express his feelings, showcasing his emotions and sense of humor while speaking.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JianZhang-chick/EMOdiffhead
공식 코드EMOdiffhead: Continuously Emotional Control in Talking Head Generation via Diffusion
https://github.com/KwaiVGI/LivePortrait
공식 코드LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
https://github.com/MingtaoGuo/relightable-portrait-animation
공식 코드https://github.com/SkyworkAI/SkyReels-A1
공식 코드SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers
https://github.com/bytedance/LatentSync
공식 코드LatentSync: Audio Conditioned Latent Diffusion Models for Lip Sync
https://github.com/fudan-generative-vision/hallo3
공식 코드Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer
https://github.com/jdh-algo/JoyVASA
공식 코드https://github.com/megvii-research/megactor
공식 코드MegActor: Harness the Power of Raw Video for Vivid Portrait Animation
https://github.com/megvii-research/megfaceanimate
공식 코드MegActor: Harness the Power of Raw Video for Vivid Portrait Animation
https://github.com/scutzzj/aniportrait
공식 코드AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
https://github.com/xyz123xyz456/hallo4
공식 코드https://github.com/huochaitiantang/pytorch-fast-matting-portrait
https://github.com/zejun-yang/aniportrait
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.