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Source: Deep-SloMo

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Datasets

Greatest papers with code

Motion Representations for Articulated Animation

22 Apr 2021AliaksandrSiarohin/first-order-model

To facilitate animation and prevent the leakage of the shape of the driving object, we disentangle shape and pose of objects in the region space.

VIDEO RECONSTRUCTION

First Order Motion Model for Image Animation

NeurIPS 2019 AliaksandrSiarohin/first-order-model

To achieve this, we decouple appearance and motion information using a self-supervised formulation.

IMAGE ANIMATION VIDEO RECONSTRUCTION

Deep Slow Motion Video Reconstruction with Hybrid Imaging System

27 Feb 2020avinashpaliwal/Deep-SloMo

In this paper, we address this problem using two video streams as input; an auxiliary video with high frame rate and low spatial resolution, providing temporal information, in addition to the standard main video with low frame rate and high spatial resolution.

OPTICAL FLOW ESTIMATION VIDEO FRAME INTERPOLATION VIDEO RECONSTRUCTION VIDEO SUPER-RESOLUTION

DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing

12 Jul 2016miliadis/DeepVideoCS

In this paper, we propose a novel encoder-decoder neural network model referred to as DeepBinaryMask for video compressive sensing.

COMPRESSIVE SENSING VIDEO COMPRESSIVE SENSING VIDEO RECONSTRUCTION

High Frame Rate Video Reconstruction based on an Event Camera

12 Mar 2019panpanfei/Bringing-a-Blurry-Frame-Alive-at-High-Frame-Rate-with-an-Event-Camera

Based on the abundant event data alongside a low frame rate, easily blurred images, we propose a simple yet effective approach to reconstruct high-quality and high frame rate sharp videos.

VIDEO GENERATION VIDEO RECONSTRUCTION

Reducing the Sim-to-Real Gap for Event Cameras

ECCV 2020 TimoStoff/event_cnn_minimal

We present strategies for improving training data for event based CNNs that result in 20-40% boost in performance of existing state-of-the-art (SOTA) video reconstruction networks retrained with our method, and up to 15% for optic flow networks.

VIDEO RECONSTRUCTION

Bringing Alive Blurred Moments

CVPR 2019 anshulbshah/Blurred-Image-to-Video

This network extracts embedded motion information from the blurred image to generate a sharp video in conjunction with the trained recurrent video decoder.

Ranked #13 on Deblurring on GoPro (using extra training data)

DEBLURRING VIDEO RECONSTRUCTION

Exploiting Structure for Fast Kernel Learning

9 Aug 2018treforevans/gp_grid

We propose two methods for exact Gaussian process (GP) inference and learning on massive image, video, spatial-temporal, or multi-output datasets with missing values (or "gaps") in the observed responses.

VIDEO RECONSTRUCTION

Video Reconstruction by Spatio-Temporal Fusion of Blurred-Coded Image Pair

20 Oct 2020asprasan/codedblurred

The input to our algorithm is a fully-exposed and coded image pair.

VIDEO RECONSTRUCTION