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20242026
most citedProgressive Compositionality in Text-to-Image Generative Models

2 citations · 6 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Schrodinger Audio-Visual Editor: Object-Level Audiovisual Removal

Weihan Xu, Kan Jen Cheng, Koichi Saito +10

Joint editing of audio and visual content is crucial for precise and controllable content creation. This new task poses challenges due to the limitations of paired audio-visual dat…

cs.CV2025

REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing

Weihan Xu, Yimeng Ma, Jingyue Huang +6

Short videos are an effective tool for promoting contents and improving knowledge accessibility. While existing extractive video summarization methods struggle to produce a coheren…

cs.CV2024

TeaserGen: Generating Teasers for Long Documentaries

Weihan Xu, Paul Pu Liang, Haven Kim +3

Teasers are an effective tool for promoting content in entertainment, commercial and educational fields. However, creating an effective teaser for long videos is challenging for it…

cs.CV2024

VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks

Lawrence Jang, Yinheng Li, Dan Zhao +5

Videos are often used to learn or extract the necessary information to complete tasks in ways different than what text and static imagery alone can provide. However, many existing…

cs.CV2024★ 2 cited

Progressive Compositionality in Text-to-Image Generative Models

Evans Xu Han, Linghao Jin, Xiaofeng Liu +1

Despite the impressive text-to-image (T2I) synthesis capabilities of diffusion models, they often struggle to understand compositional relationships between objects and attributes,…