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20242026
most citedLLMs Meet Multimodal Generation and Editing: A Survey

2 citations · 6 across the 15 of their papers we have counts for

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cs.CV2025

ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data

Zhaoyang Liu, Jingjing Xie, Zichen Ding +27

Vision-Language Models (VLMs) have enabled computer use agents (CUAs) that operate GUIs autonomously, showing great potential, yet progress is limited by the lack of large-scale, o…

cs.CV2025

WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction

Shaobin Zhuang, Yiwei Guo, Canmiao Fu +7

Visual tokenizer is a critical component for vision generation. However, the existing tokenizers often face unsatisfactory trade-off between compression ratios and reconstruction f…

cs.CV2024★ 1 cited

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions

Xiaowei Chi, Yatian Wang, Aosong Cheng +16

Massive multi-modality datasets play a significant role in facilitating the success of large video-language models. However, current video-language datasets primarily provide text…

cs.CV2024

VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling

Zeyue Tian, Zhaoyang Liu, Ruibin Yuan +6

In this work, we systematically study music generation conditioned solely on the video. First, we present a large-scale dataset comprising 360K video-music pairs, including various…

cs.CV2024★ 1 cited

Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners

Yazhou Xing, Yingqing He, Zeyue Tian +2

Video and audio content creation serves as the core technique for the movie industry and professional users. Recently, existing diffusion-based methods tackle video and audio gener…