6 papers
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation
Zhoujie Fu, Xianfang Zeng, Jinghong Lan +9
Pre-trained video models learn powerful priors for generating high-quality, temporally coherent content. While these models excel at temporal coherence, their dynamics are often co…
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…
Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention
Yiwen Chen, Zhihao Li, Yikai Wang +4
Recent advances in sparse voxel representations have significantly improved the quality of 3D content generation, enabling high-resolution modeling with fine-grained geometry. Howe…
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…
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization
Yiwen Chen, Yikai Wang, Yihao Luo +5
Meshes are the de facto 3D representation in the industry but are labor-intensive to produce. Recently, a line of research has focused on autoregressively generating meshes. This a…