collaborators

5 papers

cs.CV2026

CAMEO: A Conditional and Quality-Aware Multi-Agent Image Editing Orchestrator

Yuhan Pu, Hao Zheng, Ziqian Mo +5

Conditional image editing aims to modify a source image according to textual prompts and optional reference guidance. Such editing is crucial in scenarios requiring strict structur…

cs.CV2026

InstructAV2AV: Instruction-Guided Audio-Video Joint Editing

Haojie Zheng, Yixin Yang, Siqi Yang +2

Recent diffusion-based methods have achieved impressive progress in video content manipulation. However, they typically ignore the accompanying audio, leaving the audio disjointed…

cs.CV2026

AVI-Edit: Audio-sync Video Instance Editing with Granularity-Aware Mask Refiner

Haojie Zheng, Shuchen Weng, Jingqi Liu +3

Recent advancements in video generation highlight that realistic audio-visual synchronization is crucial for engaging content creation. However, existing video editing methods larg…

cs.CV2025

Audio-Sync Video Generation with Multi-Stream Temporal Control

Shuchen Weng, Haojie Zheng, Zheng Chang +3

Audio is inherently temporal and closely synchronized with the visual world, making it a naturally aligned and expressive control signal for controllable video generation (e.g., mo…

cs.CV2025

VIRES: Video Instance Repainting via Sketch and Text Guided Generation

Shuchen Weng, Haojie Zheng, Peixuan Zhang +4

We introduce VIRES, a video instance repainting method with sketch and text guidance, enabling video instance repainting, replacement, generation, and removal. Existing approaches…