Search Results for author:
Found 7 papers, 5 papers with code
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
To this end, we propose an all-in-one image restoration framework with latent diffusion (AutoDIR), which can automatically detect and address multiple unknown degradations.
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
Instead of learning a single codebook for each image category, we learn a set of basis codebooks.
Real-time Controllable Denoising for Image and Video
Controllable image denoising aims to generate clean samples with human perceptual priors and balance sharpness and smoothness.
HDR Video Reconstruction with Tri-Exposure Quad-Bayer Sensors
We propose a novel high dynamic range (HDR) video reconstruction method with new tri-exposure quad-bayer sensors.
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement
STAR is a general architecture that can be easily adapted to different image enhancement tasks.
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Shadow detection in general photos is a nontrivial problem, due to the complexity of the real world.
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
This paper presents a new method for shadow removal using unpaired data, enabling us to avoid tedious annotations and obtain more diverse training samples.
