5 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Zhenyu Wang, Enze Xie, Aoxue Li +3
Despite significant advancements in text-to-image models for generating high-quality images, these methods still struggle to ensure the controllability of text prompts over images…
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu, Chengyue Wu, Xinyuan Chen +4
Diffusion models have attained impressive visual quality for image synthesis. However, how to interpret and manipulate the latent space of diffusion models has not been extensively…
DDP: Diffusion Model for Dense Visual Prediction
Yuanfeng Ji, Zhe Chen, Enze Xie +6
We propose a simple, efficient, yet powerful framework for dense visual predictions based on the conditional diffusion pipeline. Our approach follows a "noise-to-map" generative pa…
Bridging Video-text Retrieval with Multiple Choice Questions
Yuying Ge, Yixiao Ge, Xihui Liu +4
Pre-training a model to learn transferable video-text representation for retrieval has attracted a lot of attention in recent years. Previous dominant works mainly adopt two separa…