Popular GitHub Repositories for Cubic Interpolation

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.

Statistical Machine Intelligence & Learning Engine

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

Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

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

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

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

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

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

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

A Collection of Papers and Codes for ICCV2025/ICCV2021 Low Level Vision