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 24612470 of 7282 papers

TitleStatusHype
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion ModelCode0
Hierarchical Flow Diffusion for Efficient Frame Interpolation0
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing0
Random Conditioning for Diffusion Model Compression with Distillation0
Unboxed: Geometrically and Temporally Consistent Video Outpainting0
PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation0
Beyond Human Perception: Understanding Multi-Object World from Monocular ViewCode0
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images0
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation0
Scaling Inference Time Compute for Diffusion Models0
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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