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A curated list of resources for video super-resolution using diffusion models

郭新晨 2026-02-09 20:40 阅读:2 评论:0 推荐:0

About A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

郭新晨 2026-01-09 17:00 阅读:3 评论:0 推荐:0

STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution

郭新晨 2026-01-09 16:58 阅读:3 评论:0 推荐:0

About Image Super-Resolution for Anime-Style Art

郭新晨 2026-01-09 16:55 阅读:4 评论:0 推荐:0

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

郭新晨 2026-01-09 16:54 阅读:3 评论:0 推荐:0

Towards Real-Time Diffusion-Based Streaming Video Super-Resolution

郭新晨 2026-01-09 16:51 阅读:5 评论:0 推荐:0

About [ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution

郭新晨 2026-01-09 16:48 阅读:5 评论:0 推荐:0

Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

郭新晨 2026-01-09 16:45 阅读:6 评论:0 推荐:0

CVPR 2024-Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention

郭新晨 2026-01-07 18:25 阅读:5 评论:0 推荐:0

Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations

郭新晨 2026-01-07 18:24 阅读:4 评论:0 推荐:0