collaborators

9 papers

cs.CV2026

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing

Chenxuan Miao, Yutong Feng, Yi Lu +6

Instruction-based video editing (IVE) is an emerging field with broad applications, yet evaluating editing models remains challenging. Existing benchmarks suffer from two major lim…

cs.CV2026

FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling

Jialong Zuo, Haotong Zuo, Shiwei Zhang +5

Translating novels into films poses a grand challenge for generative artificial intelligence, requiring conversion of abstract literary prose into long-form, multi-scene visual nar…

cs.CV2026

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation

Yujie Wei, Yujin Han, Zhekai Chen +20

Video generation is rapidly evolving from single-shot synthesis to complex multi-shot audio-video (MSAV) narratives to meet real-world demands. However, evaluating such frontier mo…

cs.LG2026

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models

Quanhao Li, Junqiu Yu, Kaixun Jiang +7

Reinforcement learning has emerged as a powerful tool for improving diffusion-based text-to-image models, but existing methods are largely limited to single-task optimization. Exte…

cs.CV2026

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction

Yujie Wei, Chenglong Ma, Jianxiong Gao +6

Reconstructing dynamic visual experiences as videos from functional magnetic resonance imaging (fMRI) is pivotal for advancing the understanding of neural processes. However, curre…

cs.CV2026

AesRM: Improving Video Aesthetics with Expert-Level Feedback

Yujin Han, Yujie Wei, Yefei He +7

Despite rapid advances in photorealistic video generation, real-world applications such as filmmaking require video aesthetics, e.g., harmonious colors and cinematic lighting, beyo…