SOTAVerified

Video Enhancement

Papers

Showing 1–50 of 110 papers

TitleStatusHype
PMQ-VE: Progressive Multi-Frame Quantization for Video EnhancementCode0
Super-Resolution Generative Adversarial Networks based Video Enhancement—0
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and ResultsCode1
From Events to Enhancement: A Survey on Event-Based Imaging TechnologiesCode0
Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline—0
Multi-Stage Generative Upscaler: Reconstructing Football Broadcast Images via Diffusion Models—0
Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video EnhancementCode0
Plug-and-Play Versatile Compressed Video Enhancement—0
Video Decomposition Prior: A Methodology to Decompose Videos into Layers—0
UnDIVE: Generalized Underwater Video Enhancement Using Generative PriorsCode0
Optimizing 4D Lookup Table for Low-light Video Enhancement via Wavelet Priori—0
EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More—0
Towards Real-world Event-guided Low-light Video Enhancement and DeblurringCode2
Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video EnhancementCode1
PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis—0
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion ModelsCode2
BVI-RLV: A Fully Registered Dataset and Benchmarks for Low-Light Video Enhancement—0
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
LU2Net: A Lightweight Network for Real-time Underwater Image Enhancement—0
Fast Unsupervised Tensor Restoration via Low-rank Deconvolution—0
From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimization—0
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition—0
Illumination Histogram Consistency Metric for Quantitative Assessment of Video SequencesCode0
RMT-BVQA: Recurrent Memory Transformer-based Blind Video Quality Assessment for Enhanced Video Content—0
Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language GuidanceCode1
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video EnhancementCode2
Binarized Low-light Raw Video EnhancementCode1
End-To-End Underwater Video Enhancement: Dataset and ModelCode1
A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement—0
Learning Exposure Correction in Dynamic ScenesCode0
BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video EnhancementCode0
Video Harmonization with Triplet Spatio-Temporal Variation PatternsCode1
A Survey on Super Resolution for video Enhancement Using GAN—0
Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance—0
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset—0
FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup TableCode1
NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing FrameworkCode1
Real-Time Neural Video Recovery and Enhancement on Mobile Devices—0
NTIRE 2023 Quality Assessment of Video Enhancement Challenge—0
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision—0
Neural Image Re-ExposureCode0
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video EnhancementCode1
SB-VQA: A Stack-Based Video Quality Assessment Framework for Video Enhancement—0
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning—0
Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform CoordinatesCode1
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
ReBotNet: Fast Real-time Video Enhancement—0
VDPVE: VQA Dataset for Perceptual Video EnhancementCode1
Real-time Audio Video Enhancement \ a Microphone Array and Headphones—0
Learnt Deep Hyperparameter selection in Adversarial Training for compressed video enhancement with perceptual critic—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BasicVSR++Incremental PSNR1.1—Unverified
2S2SVRIncremental PSNR0.93—Unverified
3STDFIncremental PSNR0.83—Unverified
4EDVRIncremental PSNR0.75—Unverified
5MFQE 2.0Incremental PSNR0.56—Unverified
6MFQE 1.0Incremental PSNR0.46—Unverified