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 8190 of 7282 papers

TitleStatusHype
On the Trajectory Regularity of ODE-based Diffusion SamplingCode3
UnMarker: A Universal Attack on Defensive Image WatermarkingCode3
Taming Stable Diffusion for Text to 360° Panorama Image GenerationCode3
Self-Rectifying Diffusion Sampling with Perturbed-Attention GuidanceCode3
Make-Your-Anchor: A Diffusion-based 2D Avatar Generation FrameworkCode3
ReNoise: Real Image Inversion Through Iterative NoisingCode3
Multimodal-Conditioned Latent Diffusion Models for Fashion Image EditingCode3
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
Physics-Informed Diffusion ModelsCode3
Scaling Diffusion Models to Real-World 3D LiDAR Scene CompletionCode3
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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