https://github.com/Francis-Rings/StableAnimator
공식 코드StableAnimator: High-Quality Identity-Preserving Human Image Animation
Papers with Code 아카이브
Human Animation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/antgroup/echomimic_v2
공식 코드EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
https://github.com/carmenw1203/dancecamanimator-official
공식 코드DanceCamAnimator: Keyframe-Based Controllable 3D Dance Camera Synthesis
https://github.com/chahuja/language2pose
공식 코드https://github.com/gulucaptain/dynamictrl
공식 코드https://github.com/j-x-chen/ggavatar
공식 코드GGAvatar: Reconstructing Garment-Separated 3D Gaussian Splatting Avatars from Monocular Video
https://github.com/jfzhang95/avatargen
공식 코드AvatarGen: A 3D Generative Model for Animatable Human Avatars
https://github.com/meigen-ai/multitalk
공식 코드Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
https://github.com/sidsunny/pocoloco
공식 코드PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing
https://github.com/tencent-hunyuan/hunyuanvideo-avatar
공식 코드HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters
https://github.com/tiantianwang/4d_video_stylization
공식 코드https://github.com/zhenzhiwang/humanvid
공식 코드HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
https://github.com/DataScienceNigeria/Joint-Language-to-Pose-JL2P-with-3D-pose
https://github.com/tencent-hunyuan/hunyuancustom
OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.