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20242026
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cs.CV2026

GeoRect4D: Geometry-Compatible Generative Rectification for Dynamic Sparse-View 3D Reconstruction

Zhenlong Wu, Zihan Zheng, Xuanxuan Wang +5

Reconstructing dynamic 3D scenes from sparse multi-view videos is highly ill-posed, often leading to geometric collapse, trajectory drift, and floating artifacts. Recent attempts i…

cs.CV2025

ContextDrag: Precise Drag-Based Image Editing via Context-Preserving Token Injection and Position-Aligned Attention

Huiguo He, Pengyu Yan, Ziqi Yi +6

Drag-based image editing enables intuitive visual manipulation through point-based drag operations. Existing methods mainly rely on diffusion inversion or pixel-space warping with…

cs.CV2024

Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation

Xin Yan, Yuxuan Cai, Qiuyue Wang +3

We introduce Presto, a novel video diffusion model designed to generate 15-second videos with long-range coherence and rich content. Extending video generation methods to maintain…

cs.CV2024

Fleximo: Towards Flexible Text-to-Human Motion Video Generation

Yuhang Zhang, Yuan Zhou, Zeyu Liu +4

Current methods for generating human motion videos rely on extracting pose sequences from reference videos, which restricts flexibility and control. Additionally, due to the limita…

cs.CV2024

Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention

Huiguo He, Qiuyue Wang, Yuan Zhou +4

Training-free diffusion models have achieved remarkable progress in generating multi-subject consistent images within open-domain scenarios. The key idea of these methods is to inc…

cs.CV2024

Allegro: Open the Black Box of Commercial-Level Video Generation Model

Yuan Zhou, Qiuyue Wang, Yuxuan Cai +1

Significant advancements have been made in the field of video generation, with the open-source community contributing a wealth of research papers and tools for training high-qualit…