video-prediction

Mastering Atari with Discrete World Models

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.

Stochastic Adversarial Video Prediction

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223

Video Predicting using ConvLSTM and pytorch

Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.

Official PyTorch implementation of "Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning" (CVPR 2021 Oral)

Official implementation of the paper Stochastic Latent Residual Video Prediction

Pytorch implementations of ConvLSTM and ConvGRU modules with examples

About Code release for "MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions" (CVPR 2021) https://arxiv.org/abs/2103.02243