There are 11 repositories under video-prediction topic.
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
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
You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Video Predicting using ConvLSTM and pytorch
Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models
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
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.
Pytorch implementations of ConvLSTM and ConvGRU modules with examples
Code accompanying our IARAI Weather4cast Challenge
Implementation of Transformer Encoder Decoder Architecture for Video Predictions
Clockwork VAEs in JAX/Flax
A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
A PyTorch implementation of TVC
In this repository, we focus on video frame prediction the task of predicting future frames given a set of past frames. We present an Adversarial Spatio-Temporal Convolutional LSTM architecture to predict the future frames of the Moving MNIST Dataset. We evaluate the model on long-term future frame prediction and its performance of the model on out-of-domain inputs by providing sequences on which the model was not trained.
Learning Robust Dynamics Through Variational Sparse Gating
Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.
Switch EMA: A Free Lunch for Better Flatness and Sharpness
Official implementation of: "Object-Centric Video Prediction via Decoupling of Object Dynamics and Interactions" by Villar-Corrales et al. ICIP 2023
A curated list of awesome video prediction papers
Solution for our Neurips 2019 challenge on traffic movie forecasting