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20242026
most citedAnimateAnything: Consistent and Controllable Animation for Video Generation

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2026

Monocular Avatar Reconstruction via Cascaded Diffusion Priors and UV-Space Differentiable Shading

Hong Li, Minqi Meng, Yanjun Liang +10

Reconstructing high-fidelity, relightable 3D avatars from a single in-the-wild image is a challenging ill-posed problem, primarily hindered by the scarcity of high-quality PBR data…

cs.CV2025

PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion

Yichen Yang, Hong Li, Haodong Zhu +4

Existing autoregressive (AR) methods for generating artist-designed meshes struggle to balance global structural consistency with high-fidelity local details, and are susceptible t…

cs.CV2025

MotionFlow:Learning Implicit Motion Flow for Complex Camera Trajectory Control in Video Generation

Guojun Lei, Chi Wang, Yikai Wang +3

Generating videos guided by camera trajectories poses significant challenges in achieving consistency and generalizability, particularly when both camera and object motions are pre…

cs.CV2025

UniTransfer: Video Concept Transfer via Progressive Spatial and Timestep Decomposition

Guojun Lei, Rong Zhang, Chi Wang +4

We propose a novel architecture UniTransfer, which introduces both spatial and diffusion timestep decomposition in a progressive paradigm, achieving precise and controllable video…

cs.CV2024★ 1 cited

AnimateAnything: Consistent and Controllable Animation for Video Generation

Guojun Lei, Chi Wang, Hong Li +3

We present a unified controllable video generation approach AnimateAnything that facilitates precise and consistent video manipulation across various conditions, including camera t…