SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 1–50 of 3874 papers

TitleStatusHype
M&M VTO: Multi-Garment Virtual Try-On and EditingCode7
Consistency ModelsCode5
Arbitrary-steps Image Super-resolution via Diffusion InversionCode5
Efficient Diffusion Model for Image Restoration by Residual ShiftingCode5
CogView3: Finer and Faster Text-to-Image Generation via Relay DiffusionCode5
GLEAN: Generative Latent Bank for Image Super-Resolution and BeyondCode5
FeatUp: A Model-Agnostic Framework for Features at Any ResolutionCode5
Real3D-Portrait: One-shot Realistic 3D Talking Portrait SynthesisCode5
EvTexture: Event-driven Texture Enhancement for Video Super-ResolutionCode5
APISR: Anime Production Inspired Real-World Anime Super-ResolutionCode5
InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music GenerationCode5
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic DataCode4
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA ApproachCode4
SeeSR: Towards Semantics-Aware Real-World Image Super-ResolutionCode4
A Survey on Visual MambaCode4
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image GenerationCode4
Adversarial Diffusion Compression for Real-World Image Super-ResolutionCode4
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
NAFSSR: Stereo Image Super-Resolution Using NAFNetCode4
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
DiffBIR: Towards Blind Image Restoration with Generative Diffusion PriorCode4
One-Step Effective Diffusion Network for Real-World Image Super-ResolutionCode4
Exploiting Diffusion Prior for Real-World Image Super-ResolutionCode4
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelCode4
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature TransformCode3
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge SurveyCode3
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual ShiftingCode3
PP-MSVSR: Multi-Stage Video Super-ResolutionCode3
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative ModelsCode3
Panacea+: Panoramic and Controllable Video Generation for Autonomous DrivingCode3
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory DistillationCode3
CAMixerSR: Only Details Need More "Attention"Code3
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
Lumiere: A Space-Time Diffusion Model for Video GenerationCode3
Blind Image Restoration via Fast Diffusion InversionCode3
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
General Geospatial Inference with a Population Dynamics Foundation ModelCode3
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and AlignmentCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
ESRGAN: Enhanced Super-Resolution Generative Adversarial NetworksCode3
Event-Enhanced Blurry Video Super-ResolutionCode3
BasicVSR: The Search for Essential Components in Video Super-Resolution and BeyondCode3
Activating More Pixels in Image Super-Resolution TransformerCode3
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion TransformerCode3
AudioSR: Versatile Audio Super-resolution at ScaleCode3
DRCT: Saving Image Super-resolution away from Information BottleneckCode3
A new face swap method for image and video domains: a technical reportCode3
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-ResolutionCode3
Degradation-Guided One-Step Image Super-Resolution with Diffusion PriorsCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified