Generative-Video-Super-Resolution

Diffusion

• InstaVSR: Taming Diffusion for Efficient and Temporally Consistent Video Super-Resolution paper
• SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation paper code
• Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution paper
• DUO-VSR: Dual-Stream Distillation for One-Step Video Super-Resolution paper code
• Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion paper code
• D2-VR: Degradation-Robust and Distilled Video Restoration with Synergistic Optimization Strategy paper
• STCDiT: Spatio-Temporally Consistent Diffusion Transformer for High-Quality Video Super-Resolution paper code (TBC)
• Rethinking Diffusion Model-Based Video Super-Resolution: Leveraging Dense Guidance from Aligned Features paper
• Improving Temporal Consistency and Fidelity at Inference-time in Perceptual Video Restoration by Zero-shot Image-based Diffusion Models paper
• Aligning Global Semantics and Local Textures in Generative Video Enhancement paper code (TBC)
• FlashVSR: Towards Real-Time Diffusion-Based Streaming Video Super-Resolution paper code
• UniMMVSR: A Unified Multi-Modal Framework for Cascaded Video Super-Resolution paper
• InfVSR: Breaking Length Limits of Generic Video Super-Resolution paper code (TBC)
• PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution paper
• Asymmetric VAE for One-Step Video Super-Resolution Acceleration paper code (TBC)
• Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution paper code (TBC)
• Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration paper code
• OS-DiffVSR: Towards One-step Latent Diffusion Model for High-detailed Real-world Video Super-Resolution paper
• DiTVR: Zero-Shot Diffusion Transformer for Video Restoration paper
• Semantic and Temporal Integration in Latent Diffusion Space for High-Fidelity Video Super-Resolution paper
• RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution paper
• DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution paper code
• TurboVSR: Fantastic Video Upscalers and Where to Find Them paper
• SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution paper
• One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution paper code
• LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4×RTX 4090s paper
• Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution paper code
• UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space paper code
• DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution paper code
• DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior paper
• SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training paper code
• DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations paper code
• STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution paper code
• SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
• SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration code
• DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
• Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
• Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
• Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
• Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models

GAN

• DualX-VSR: Dual Axial Spatial×Temporal Transformer for Real-World Video Super-Resolution without Motion Compensation
• VideoGigaGAN: Towards Detail-rich Video Super-Resolution
• Collaborative Feedback Discriminative Propagation for Video Super-Resolution
• A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution
• RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
• Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution