Search Results for author:
Found 11 papers, 8 papers with code
Any Image Restoration via Efficient Spatial-Frequency Degradation Adaptation
Restoring any degraded image efficiently via just one model has become increasingly significant and impactful, especially with the proliferation of mobile devices.
ReCap: Better Gaussian Relighting with Cross-Environment Captures
Accurate 3D objects relighting in diverse unseen environments is crucial for realistic virtual object placement.
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
To address this, we introduce ``complexity experts" -- flexible expert blocks with varying computational complexity and receptive fields.
Ranked #2 on
Blind All-in-One Image Restoration
on 5-Degradations
Restore Anything Model via Efficient Degradation Adaptation
With the proliferation of mobile devices, the need for an efficient model to restore any degraded image has become increasingly significant and impactful.
Ranked #5 on
5-Degradation Blind All-in-One Image Restoration
on 5-Degradation Blind All-in-One Image Restoration
5-Degradation Blind All-in-One Image Restoration
Benchmarking
+2
Efficient Degradation-aware Any Image Restoration
Reconstructing missing details from degraded low-quality inputs poses a significant challenge.
Ranked #4 on
5-Degradation Blind All-in-One Image Restoration
on 5-Degradation Blind All-in-One Image Restoration
5-Degradation Blind All-in-One Image Restoration
Blind All-in-One Image Restoration
+1
NTIRE 2024 Challenge on Image Super-Resolution ($\times$4): Methods and Results
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
See More Details: Efficient Image Super-Resolution by Experts Mining
Subsequently, the model delves into the subtleties of rank choice by leveraging a mixture of low-rank experts.
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report
This paper introduces a novel benchmark for efficient upscaling as part of the NTIRE 2023 Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images from 720p and 1080p resolution to native 4K (x2 and x3 factors) in real-time on commercial GPUs.
Towards Real-Time 4K Image Super-Resolution
Over the past few years, high-definition videos and images in 720p (HD), 1080p (FHD), and 4K (UHD) resolution have become standard.
SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking
Smartphone photography is becoming increasingly popular, but fitting high-performing camera systems within the given space limitations remains a challenge for manufacturers.
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
The lack of out-of-domain generalization is a critical weakness of deep networks for semantic segmentation.
Domain Generalization
One-shot Unsupervised Domain Adaptation
+2
