SOTAVerified

SSIM

Papers

Showing 176200 of 1336 papers

TitleStatusHype
A Lightweight Inception Boosted U-Net Neural Network for Routability PredictionCode1
Dreamer: Dual-RIS-aided Imager in Complementary ModesCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image DehazingCode1
PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image TransformationCode1
A multidimensional measurement of photorealistic avatar quality of experienceCode1
DVC: An End-to-end Deep Video Compression FrameworkCode1
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
End-to-end Optimized Image CompressionCode1
Eliminating Gradient Conflict in Reference-based Line-Art ColorizationCode1
360FusionNeRF: Panoramic Neural Radiance Fields with Joint GuidanceCode1
Improving neural implicit surfaces geometry with patch warpingCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
RANSAC-Flow: generic two-stage image alignmentCode1
BemaGANv2: A Tutorial and Comparative Survey of GAN-based Vocoders for Long-Term Audio GenerationCode1
EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained DiffusionCode1
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel NoisesCode1
Face Reconstruction with Variational Autoencoder and Face MasksCode1
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance FieldCode1
Memory augment is All You Need for image restorationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RectiNetSSIM0.55Unverified
2RectiNet-v2SSIM0.51Unverified
3DewarpNetSSIM0.49Unverified
4DocUNetSSIM0.41Unverified