Video Prediction - Groups

Caltech Pedestrian

The dataset used in the paper is a video prediction dataset with occlusions, which is used to evaluate the proposed Fast Fourier Inception Networks (FFINet) for occluded video...

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TaxiBJ

The dataset used in the paper is a video prediction dataset with occlusions, which is used to evaluate the proposed Fast Fourier Inception Networks (FFINet) for occluded video...

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MovingMNIST

MovingMNIST is a synthetic dataset for predicting the movement of two digits.

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Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

Video prediction is a challenging task. The quality of video frames from current state-of-the-art (SOTA) generative models tends to be poor and generalization beyond the...

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UVG

The UVG dataset comprises 16 video sequences of 3840×2160, recorded at 120 frames per second.

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Decomposing motion and content for natural video sequence prediction

Decomposing motion and content for natural video sequence prediction.

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SDC-Net: Video prediction using spatially-displaced convolution

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

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Moving MNIST

Moving MNIST is a benchmark data set for video recognition. There are 10,000 samples including 8,000 for training and 2,000 for test. Each sample consists of 20 sequential gray...

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Sdcnet: Video prediction using spatially-displaced convolution

Spatially-displaced convolution for video prediction.

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9 datasets found