Video Reconstruction
35 papers with code • 9 benchmarks • 8 datasets
Source: Deep-SloMo
Benchmarks
These leaderboards are used to track progress in Video Reconstruction
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VoxCeleb1
Event-Camera Dataset
MVSEC
MGif
TED-talks
Tai-Chi-HD
SEN12MS-CR-TS
Videezy4K
Latest papers
Collaborative Feedback Discriminative Propagation for Video Super-Resolution
However, inaccurate alignment usually leads to aligned features with significant artifacts, which will be accumulated during propagation and thus affect video restoration.
Towards 4D Human Video Stylization
To overcome these limitations, we leverage Neural Radiance Fields (NeRFs) to represent videos, conducting stylization in the rendered feature space.
An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Cameras
We also demonstrate the integration of image convolution with linear spatial kernels Gaussian, Sobel, and Laplacian as an application of our architecture.
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
haesoochung/lan-hdr
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ICCV 2023
In this paper, we propose an end-to-end HDR video composition framework, which aligns LDR frames in the feature space and then merges aligned features into an HDR frame, without relying on pixel-domain optical flow.
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events
pld-group/V2E2V
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IEEE Transactions on Pattern Analysis and Machine Intelligence 2023
In this paper, we propose a light, simple model-based deep network for E2V reconstruction, explore the diversity for adjacent pixels in V2E generation, and finally build a video-to-events-to-video (V2E2V) architecture to validate how alternative event generation strategies improve video reconstruction.
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks
Event-based cameras are becoming increasingly popular for their ability to capture high-speed motion with low latency and high dynamic range.
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
Event cameras are a new type of vision sensor that incorporates asynchronous and independent pixels, offering advantages over traditional frame-based cameras such as high dynamic range and minimal motion blur.
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging
berkiskender/RED-PSM
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ICCV 2023
In particular, in the case of dynamic tomography, only a single projection at a single view angle may be available at a time, making the problem severely ill-posed.
HNeRV: A Hybrid Neural Representation for Videos
haochen-rye/hnerv
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CVPR 2023
Such embedding largely limits the regression capacity and internal generalization for video interpolation.
Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
Moreover, on the seemingly implausible x16 interpolation task, our method outperforms existing methods by more than 1. 5 dB in terms of PSNR.
