Popular GitHub Repositories for Frame Recurrence

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, IFRNet, CAIN, DAIN, and ACNet.

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic ?: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision

The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app

Ways of doing Data Science Engineering and Machine Learning in R and Python

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

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

A frame-semantic parsing system based on a softmax-margin SegRNN.

Implementation of Block Recurrent Transformer - Pytorch

Video Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

FluidFrames | 基于AI的视频帧生成应用

A Collection of Low Level Vision Research Groups