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20232025
most citedHow Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

16 citations · 16 across the 7 of their papers we have counts for

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14 papers · 1 filter

cs.CV2025

RelightVid: Temporal-Consistent Diffusion Model for Video Relighting

Ye Fang, Zeyi Sun, Shangzhan Zhang +6

Diffusion models have demonstrated remarkable success in image generation and editing, with recent advancements enabling albedo-preserving image relighting. However, applying these…

cs.CV2025

GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models

Zhangyang Qi, Zhixiong Zhang, Ye Fang +2

In recent years, 2D Vision-Language Models (VLMs) have made significant strides in image-text understanding tasks. However, their performance in 3D spatial comprehension, which is…

cs.CV2024

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models

Tong Wu, Yinghao Xu, Ryan Po +6

Recent advances in text-to-image generation have enabled the creation of high-quality images with diverse applications. However, accurately describing desired visual attributes can…

cs.CV2024

IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations

Zhibing Li, Tong Wu, Jing Tan +3

Capturing geometric and material information from images remains a fundamental challenge in computer vision and graphics. Traditional optimization-based methods often require hours…

cs.CV2024

Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Images

Zhangyang Qi, Yunhan Yang, Mengchen Zhang +7

Recent advances in 3D AIGC have shown promise in directly creating 3D objects from text and images, offering significant cost savings in animation and product design. However, deta…

cs.CV2024

Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

Yuxuan Qiao, Haodong Duan, Xinyu Fang +6

Vision Language Models (VLMs) demonstrate remarkable proficiency in addressing a wide array of visual questions, which requires strong perception and reasoning faculties. Assessing…