30 citations · 89 across the 25 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 3 cited
Latent Feature-Guided Diffusion Models for Shadow Removal
Kangfu Mei, Luis Figueroa, Zhe Lin +3
Recovering textures under shadows has remained a challenging problem due to the difficulty of inferring shadow-free scenes from shadow images. In this paper, we propose the use of…
cs.CV2023★ 2 cited
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
Kangfu Mei, Mauricio Delbracio, Hossein Talebi +3
Large generative diffusion models have revolutionized text-to-image generation and offer immense potential for conditional generation tasks such as image enhancement, restoration,…
cs.CV2023
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities
Kangfu Mei, Mo Zhou, Vishal M. Patel
Diffusion Probabilistic Field (DPF) models the distribution of continuous functions defined over metric spaces. While DPF shows great potential for unifying data generation of vari…