SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 251260 of 7282 papers

TitleStatusHype
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
Few-Shot Concept Unlearning with Low Rank Adaptation0
Video-GPT via Next Clip DiffusionCode1
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive CachingCode3
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling0
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning0
Noisemaker 3D: Comprehensive Framework for Mesh Noise GenerationCode0
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT AccelerationCode0
BandRC: Band Shifted Raised Cosine Activated Implicit Neural Representations0
Multi-Stage Speaker Diarization for Noisy ClassroomsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified