5 papers
Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity
Jiahao Tian, Yiwei Wang, Gang Yu +1
Autoregressive video diffusion models support real-time synthesis but suffer from error accumulation and context loss over long horizons. We discover that attention heads in AR vid…
In-Context Learning with Unpaired Clips for Instruction-based Video Editing
Xinyao Liao, Xianfang Zeng, Ziye Song +3
Despite the rapid progress of instruction-based image editing, its extension to video remains underexplored, primarily due to the prohibitive cost and complexity of constructing la…
MotionAgent: Fine-grained Controllable Video Generation via Motion Field Agent
Xinyao Liao, Xianfang Zeng, Liao Wang +3
We propose MotionAgent, enabling fine-grained motion control for text-guided image-to-video generation. The key technique is the motion field agent that converts motion information…
DreamDance: Animating Character Art via Inpainting Stable Gaussian Worlds
Jiaxu Zhang, Xianfang Zeng, Xin Chen +4
This paper presents DreamDance, a novel character art animation framework capable of producing stable, consistent character and scene motion conditioned on precise camera trajector…
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
Wei Cheng, Juncheng Mu, Xianfang Zeng +8
Texturing is a crucial step in the 3D asset production workflow, which enhances the visual appeal and diversity of 3D assets. Despite recent advancements in Text-to-Texture (T2T) g…