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Video Restoration
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration
Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration Models
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing
Joint Flow And Feature Refinement Using Attention For Video Restoration
Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining
Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
UniFlowRestore: A General Video Restoration Framework via Flow Matching and Prompt Guidance
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
Discrete Prior-based Temporal-coherent Content Prediction for Blind Face Video Restoration
LLVD: LSTM-based Explicit Motion Modeling in Latent Space for Blind Video Denoising
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression
DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration
Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency
Quanta Video Restoration
Learning Truncated Causal History Model for Video Restoration
Adapting MIMO video restoration networks to low latency constraints
Physical prior guided cooperative learning framework for joint turbulence degradation estimation and infrared video restoration
RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers
MNeRV: A Multilayer Neural Representation for Videos
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-Resolution
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera
SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks
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