2 citations · 2 across the 4 of their papers we have counts for
4 papers
Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Art
Haowei Zhang, Yuanpei Zhao, Ji-Zhe Zhou +1
Artificial intelligence can classify artistic styles and synthesize images, but it still lacks a model of the visual language that gives art meaning. Abstract painting minimizes ob…
FGM-HD: Boosting Generation Diversity of Fractal Generative Models through Hausdorff Dimension Induction
Haowei Zhang, Yuanpei Zhao, Ji-Zhe Zhou +1
Improving the diversity of generated results while maintaining high visual quality remains a significant challenge in image generation tasks. Fractal Generative Models (FGMs) are e…
Interpreting Object-level Foundation Models via Visual Precision Search
Ruoyu Chen, Siyuan Liang, Jingzhi Li +5
Advances in multimodal pre-training have propelled object-level foundation models, such as Grounding DINO and Florence-2, in tasks like visual grounding and object detection. Howev…
Saliency Guided Optimization of Diffusion Latents
Xiwen Wang, Jizhe Zhou, Xuekang Zhu +2
With the rapid advances in diffusion models, generating decent images from text prompts is no longer challenging. The key to text-to-image generation is how to optimize the results…