activity
20202026
most citedVideo Background Music Generation with Controllable Music Transformer

86 citations · 124 across the 16 of their papers we have counts for

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11 papers · 1 filter

cs.CV2025

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models

Gen Luo, Wenhan Dou, Wenhao Li +9

This paper focuses on monolithic Multimodal Large Language Models (MLLMs), which integrate visual encoding and language decoding into a single model. Existing structures and pre-tr…

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.CV2025

TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation

Victor Shea-Jay Huang, Le Zhuo, Yi Xin +6

Diffusion Transformers (DiTs) are a powerful yet underexplored class of generative models compared to U-Net-based diffusion architectures. We propose TIDE-Temporal-aware sparse aut…

cs.CV2025★ 2 cited

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Zhaokai Wang, Xizhou Zhu, Xue Yang +8

Image pyramids are widely adopted in top-performing methods to obtain multi-scale features for precise visual perception and understanding. However, current image pyramids use the…

cs.CV2024

SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding

Hao Li, Changyao Tian, Jie Shao +8

The remarkable success of Large Language Models (LLMs) has extended to the multimodal domain, achieving outstanding performance in image understanding and generation. Recent effort…

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

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning

Yihong Tang, Ao Qu, Zhaokai Wang +7

Vision language models (VLMs) perform well on many tasks but often fail at spatial reasoning, which is essential for navigation and interaction with physical environments. Many spa…

cs.CV2024★ 1 cited

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training

Gen Luo, Xue Yang, Wenhan Dou +5

In this paper, we focus on monolithic Multimodal Large Language Models (MLLMs) that integrate visual encoding and language decoding into a single LLM. In particular, we identify th…

cs.CV2024

Parameter-Inverted Image Pyramid Networks

Xizhou Zhu, Xue Yang, Zhaokai Wang +6

Image pyramids are commonly used in modern computer vision tasks to obtain multi-scale features for precise understanding of images. However, image pyramids process multiple resolu…

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…

cs.CV2020

Confidence-aware Non-repetitive Multimodal Transformers for TextCaps

Zhaokai Wang, Renda Bao, Qi Wu +1

When describing an image, reading text in the visual scene is crucial to understand the key information. Recent work explores the TextCaps task, i.e. image captioning with reading…