collaborators

5 papers

cs.CV2026

ViStoryBench: Comprehensive Benchmark Suite for Story Visualization

Cailin Zhuang, Ailin Huang, Yaoqi Hu +12

Story visualization aims to generate coherent image sequences that faithfully represent a narrative and match given character references. Despite progress in generative models, exi…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

UniVerse-1: Unified Audio-Video Generation via Stitching of Experts

Duomin Wang, Wei Zuo, Aojie Li +7

We introduce UniVerse-1, a unified, Veo-3-like model capable of simultaneously generating coordinated audio and video. To enhance training efficiency, we bypass training from scrat…