For ICCV 2023, the actual paper list has not yet been open sourced. I just got the title from the conference website. Use this title to search. If the author has put the preprinted version on arxiv, you can search it (half of them are available)
immediate domain
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
Coherent Event Guided Low-light Video Enhancement
NIR-assisted Video Enhancement via Unpaired 24-hour Data
Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement
Implicit Neural Representation for Cooperative Low-light Image Enhancement
RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
Examining Autoexposure for Challenging Scenes
Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network
Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising
Luminance-aware Color Transform for Multiple Exposure Correction
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
Empowering Low-Light Image Enhancer through Customized Learnable Priors
Related areas
Towards High-quality Specular Highlight Removal by Leveraging Large-scale Synthetic Data
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device
Focal Network for Image Restoration
Physically-plausible illumination distribution estimation
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light
Single Image Reflection Separation via Component Synergy
Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Temperature Prediction
other
Adaptive Illumination Mapping for Shadow Detection in Raw Images
Lighting up NeRF via Unsupervised Decomposition and Enhancement
Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal
Leveraging Inpainting for Single-Image Shadow Removal
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision