arXiv AI July 1, 2026 By Peng Li, Rawal Khirodkar, Junxuan Li, Yuan Dong, Chen Cao, Yuan Liu, Wenhan Luo, Yike Guo, Shunsuke Saito

LUNA: Learning Universal 3D Human Animation Beyond Skinning

Read the original on arXiv AI →

arXiv:2606. 31981v1 Announce Type: cross Abstract: Creating photorealistic, animatable 3D human avatars from monocular images still largely depends on Linear Blend Skinning (LBS) and parametric body models, which constrain expressivity and often introduce artifacts due to imperfect fitting.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

llms

arXiv AI

4d ago

WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation

arXiv:2609.36937v1 Announce Type: cross Abstract: Human image animation aims to transfer motion from a driving video to subjects in a reference image. Despite remarkable progress in video generation,...

By Sangeyl Lee, Seunghyun Shin, Seungho Park, Wooseok Jeon, Hae-Gon Jeon

diffusion benchmarks

arXiv Computer Vision

Aug 21

AvatarDynamizer: From Static to Dynamic Human Avatars via Generative Dynamic Textures

arXiv:2608. 19900v1 Announce Type: new Abstract: For full-body avatars, modeling surface dynamics is crucial for overcoming the uncanny valley and achieving perceptual realism.

By Guoxing Sun, Heming Zhu, Linjie Lyu, Pascal Fua, Christian Theobalt, Marc Habermann

rag diffusion

Hugging Face Trending Papers

Aug 20

AvatarDynamizer: From Static to Dynamic Human Avatars via Generative Dynamic Textures

For full-body avatars, modeling surface dynamics is crucial for overcoming the uncanny valley and achieving perceptual realism. Person-agnostic methods recover static 3D avatars from monocular images, videos, or text prompts, but their skeleton-driven animations lack realistic surface dynamics such as clothing wrinkles.

rag diffusion

arXiv Computer Vision

Sep 1

BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives

arXiv:2608.31113v1 Announce Type: new Abstract: We introduce BLARM, a feed-forward method for video-driven 3D mesh animation. Given a monocular video and a static object mesh, BLARM predicts a tempor...

By Pradyumn Goyal, Yizhak Ben-Shabat, Hsueh-Ti Derek Liu, Haomiao Jiang, Snehasish Mukherjee, Kyle Spence, Mark Stauber, Evangelos Kalogerakis, Yunze Zeng

Hugging Face Trending Papers

Aug 3

G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priors

3D Gaussian Splatting has achieved remarkable success in photorealistic and efficient rendering, leading to a rapid increase in 3D assets represented by 3D Gaussian primitives. Directly rigging these assets with arbitrary skeleton topologies is highly desirable.

diffusion benchmarks

arXiv AI

Jun 30

FFAvatar: Feed-Forward 4D Head Avatar Reconstruction from Sparse Portrait Images

arXiv:2606. 30347v1 Announce Type: cross Abstract: We present FFAvatar, a Transformer-based 3D Gaussian framework for fast construction of high-quality and animatable 4D head avatars from one or more reference portrait images.

By Jianjiang Yao, Ke Xian, Renxiang Dai, Robert Caiming Qiu

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WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation

AvatarDynamizer: From Static to Dynamic Human Avatars via Generative Dynamic Textures

AvatarDynamizer: From Static to Dynamic Human Avatars via Generative Dynamic Textures

BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives

G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priors

FFAvatar: Feed-Forward 4D Head Avatar Reconstruction from Sparse Portrait Images