About

Video Prediction is the task of predicting future frames given past video frames.

Source: Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

Unsupervised Learning for Physical Interaction through Video Prediction

NeurIPS 2016 tensorflow/models

A core challenge for an agent learning to interact with the world is to predict how its actions affect objects in its environment.

VIDEO PREDICTION

Unsupervised Learning of Object Structure and Dynamics from Videos

NeurIPS 2019 google-research/google-research

Extracting and predicting object structure and dynamics from videos without supervision is a major challenge in machine learning.

ACTION RECOGNITION CONTINUOUS CONTROL OBJECT TRACKING VIDEO PREDICTION

VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation

ICLR 2020 tensorflow/tensor2tensor

Generative models that can model and predict sequences of future events can, in principle, learn to capture complex real-world phenomena, such as physical interactions.

PREDICT FUTURE VIDEO FRAMES VIDEO GENERATION

Model-Based Reinforcement Learning for Atari

1 Mar 2019tensorflow/tensor2tensor

We describe Simulated Policy Learning (SimPLe), a complete model-based deep RL algorithm based on video prediction models and present a comparison of several model architectures, including a novel architecture that yields the best results in our setting.

ATARI GAMES MODEL-BASED REINFORCEMENT LEARNING VIDEO PREDICTION

Video-to-Video Synthesis

NeurIPS 2018 NVIDIA/vid2vid

We study the problem of video-to-video synthesis, whose goal is to learn a mapping function from an input source video (e. g., a sequence of semantic segmentation masks) to an output photorealistic video that precisely depicts the content of the source video.

SEMANTIC SEGMENTATION VIDEO PREDICTION VIDEO-TO-VIDEO SYNTHESIS

Learning a Driving Simulator

3 Aug 2016commaai/research

Comma. ai's approach to Artificial Intelligence for self-driving cars is based on an agent that learns to clone driver behaviors and plans maneuvers by simulating future events in the road.

SELF-DRIVING CARS VIDEO PREDICTION

Improving Semantic Segmentation via Video Propagation and Label Relaxation

CVPR 2019 NVIDIA/semantic-segmentation

In this paper, we present a video prediction-based methodology to scale up training sets by synthesizing new training samples in order to improve the accuracy of semantic segmentation networks.

 Ranked #1 on Semantic Segmentation on KITTI Semantic Segmentation (using extra training data)

SEMANTIC SEGMENTATION VIDEO PREDICTION

SDCNet: Video Prediction Using Spatially-Displaced Convolution

2 Nov 2018NVIDIA/semantic-segmentation

We present an approach for high-resolution video frame prediction by conditioning on both past frames and past optical flows.

OPTICAL FLOW ESTIMATION SSIM VIDEO PREDICTION

SDC-Net: Video prediction using spatially-displaced convolution

ECCV 2018 NVIDIA/semantic-segmentation

We present an approach for high-resolution video frame prediction by conditioning on both past frames and past optical flows.

OPTICAL FLOW ESTIMATION SSIM VIDEO PREDICTION

Scalable Gradients for Stochastic Differential Equations

5 Jan 2020google-research/torchsde

The adjoint sensitivity method scalably computes gradients of solutions to ordinary differential equations.

MOTION CAPTURE VARIATIONAL INFERENCE VIDEO PREDICTION