Mastering Atari with Discrete World Models
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Updated
Jan 21, 2023 - Python
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.
Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)
Stochastic Adversarial Video Prediction
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"
Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)
Video Predicting using ConvLSTM and pytorch
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Official PyTorch implementation of "Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning" (CVPR 2021 Oral)
Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models
Pytorch implementations of ConvLSTM and ConvGRU modules with examples
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.
Code accompanying our IARAI Weather4cast Challenge
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Code release for "PredCNN: Predictive Learning with Cascade Convolutions" (IJCAI 2018)
Implementation of Transformer Encoder Decoder Architecture for Video Predictions
A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
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