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cs.CV2026

Precise Editing and Flexible Referencing for Interactable Worlds

Xinyao Liao, Xianfang Zeng, Zhu Liang +5

We present EditWorld, a video world model for precise editing and flexible referencing in interactable worlds. Existing video world models primarily focus on navigation, letting us…

cs.CV2026

ConsistWorld: Evidence Routing for Consistent Multi-Agent World Models

Qianxun Xu, Xianfang Zeng, Xinyao Liao +3

Autoregressive video world models enable temporally coherent generation for a single observer. Extending them to multiple agents requires consistency across independently controlle…

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

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…

cs.CV2025

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

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…