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Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
Highly Accurate Dichotomous Image Segmentation
Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting
Flow-Guided Transformer for Video Inpainting
Shift-tolerant Perceptual Similarity Metric
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution
Learning Spatio-Temporal Downsampling for Effective Video Upscaling
Learning Local Implicit Fourier Representation for Image Warping
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement
Blind Image Decomposition
MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
Spatial-Frequency Domain Information Integration for Pan-Sharpening
Adaptive Patch Exiting for Scalable Single Image Super-Resolution
Efficient Meta-Tuning for Content-Aware Neural Video Delivery
Reference-Based Image Super-Resolution with Deformable Attention Transformer
Local Color Distributions Prior for Image Enhancement
L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
Towards Interpretable Video Super-Resolution via Alternating Optimization
Event-Based Fusion for Motion Deblurring with Cross-Modal Attention
Fast and High Quality Image Denoising via Malleable Convolution
TAPE: Task-Agnostic Prior Embedding for Image Restoration
Uncertainty Inspired Underwater Image Enhancement
Hourglass Attention Network for Image Inpainting
Unfolded Deep Kernel Estimation for Blind Image Super-Resolution
Event-Guided Deblurring of Unknown Exposure Time Videos
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion
Content Adaptive Latents and Decoder for Neural Image Compression
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
Secrets of Event-Based Optical Flow
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion
ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion.-Learning Degradation Representations for Image Deblurring.
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
Highly Accurate Dichotomous Image Segmentation
Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting
Flow-Guided Transformer for Video Inpainting
Shift-tolerant Perceptual Similarity Metric
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution
Learning Spatio-Temporal Downsampling for Effective Video Upscaling
Learning Local Implicit Fourier Representation for Image Warping
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement
Blind Image Decomposition
MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
Spatial-Frequency Domain Information Integration for Pan-Sharpening
Adaptive Patch Exiting for Scalable Single Image Super-Resolution
Efficient Meta-Tuning for Content-Aware Neural Video Delivery
Reference-Based Image Super-Resolution with Deformable Attention Transformer
Local Color Distributions Prior for Image Enhancement
L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
Towards Interpretable Video Super-Resolution via Alternating Optimization
Event-Based Fusion for Motion Deblurring with Cross-Modal Attention
Fast and High Quality Image Denoising via Malleable Convolution
TAPE: Task-Agnostic Prior Embedding for Image Restoration
Uncertainty Inspired Underwater Image Enhancement
Hourglass Attention Network for Image Inpainting
Unfolded Deep Kernel Estimation for Blind Image Super-Resolution
Event-Guided Deblurring of Unknown Exposure Time Videos
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion
Content Adaptive Latents and Decoder for Neural Image Compression
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
Secrets of Event-Based Optical Flow
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion
ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion.-Learning Degradation Representations for Image Deblurring.