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20222025
most citedVision-to-Music Generation: A Survey

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2025

Factuality Matters: When Image Generation and Editing Meet Structured Visuals

Le Zhuo, Songhao Han, Yuandong Pu +8

While modern visual generation models excel at creating aesthetically pleasing natural images, they struggle with producing or editing structured visuals like charts, diagrams, and…

cs.CV2025★ 2 cited

Vision-to-Music Generation: A Survey

Zhaokai Wang, Chenxi Bao, Le Zhuo +5

Vision-to-music Generation, including video-to-music and image-to-music tasks, is a significant branch of multimodal artificial intelligence demonstrating vast application prospect…

cs.CV2024

Multimodal Music Generation with Explicit Bridges and Retrieval Augmentation

Baisen Wang, Le Zhuo, Zhaokai Wang +7

Multimodal music generation aims to produce music from diverse input modalities, including text, videos, and images. Existing methods use a common embedding space for multimodal fu…

cs.CV2024

VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection

Songhao Han, Wei Huang, Hairong Shi +7

The advancement of Large Vision Language Models (LVLMs) has significantly improved multimodal understanding, yet challenges remain in video reasoning tasks due to the scarcity of h…

cs.CV2022★ 1 cited

Video Background Music Generation: Dataset, Method and Evaluation

Le Zhuo, Zhaokai Wang, Baisen Wang +7

Music is essential when editing videos, but selecting music manually is difficult and time-consuming. Thus, we seek to automatically generate background music tracks given video in…