Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRN...
翻译 - 使用Waifu2x，SRMD，RealSR，Anime4K和ACNet实现图像，GIF和视频放大/升频（超分辨率）。
#计算机科学#MMagic (Multimodal Advanced, Generative, and Intelligent Creation) 是一个供专业人工智能研究人员和机器学习工程师去处理、编辑和生成图像与视频的开源 AIGC 工具箱
VRT: A Video Restoration Transformer (official repository)
翻译 - VRT：视频恢复变压器
[CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..
Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computation...
[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
#计算机科学#Frame-Recurrent Video Super-Resolution (official repository)
Video super resolution implemented in Pytorch
a collection of classic tensorflow & pytorch cnn models' implementation
[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
[ECCV 2024] Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
#计算机科学#Super-resolution videos in macOS with Waifu2x.
Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.
The state-of-the-art VSR