SOTAVerified

Video Reconstruction

Source: Deep-SloMo

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 145 papers

TitleStatusHype
Seeing in Extra Darkness Using a Deep-Red Flash—0
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding—0
Accurate Human Body Reconstruction for Volumetric Video—0
Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking—0
Adaptive low rank and sparse decomposition of video using compressive sensing—0
Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesis—0
A Unified Framework for Multi-Sensor HDR Video Reconstruction—0
BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields—0
Bidirectional Learned Facial Animation Codec for Low Bitrate Talking Head Videos—0
Brain2Pix: Fully convolutional naturalistic video reconstruction from brain activity—0
CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing—0
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity—0
Coherent3D: Coherent 3D Portrait Video Reconstruction via Triplane Fusion—0
Coherent 3D Portrait Video Reconstruction via Triplane Fusion—0
ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction—0
Compressing Human Body Video with Interactive Semantics: A Generative Approach—0
Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction—0
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation—0
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution—0
DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads—0
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning—0
DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstruction—0
Diffusion-Promoted HDR Video Reconstruction—0
E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors—0
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations—0
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All datasetsUVGEvent-Camera DatasetMVSECMGifTai-Chi-HD (256)Tai-Chi-HD (512)TED-talksVoxCelebTai-Chi-HD

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HiNeRVAverage PSNR (dB)38.02—Unverified
2CoordFlowAverage PSNR (dB)36.54—Unverified
3FFNeRVAverage PSNR (dB)35.63—Unverified
4HNeRVAverage PSNR (dB)35.23—Unverified
5E-NeRVAverage PSNR (dB)34.85—Unverified
6PS-NeRVAverage PSNR (dB)34.61—Unverified
7NeRVAverage PSNR (dB)34.49—Unverified
#ModelMetricClaimedVerifiedStatus
1E2VIDMean Squared Error0.18—Unverified
2E2VID+Mean Squared Error0.07—Unverified
3ET-NetMean Squared Error0.05—Unverified
4HyperE2VIDMean Squared Error0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1E2VIDMean Squared Error0.23—Unverified
2E2VID+Mean Squared Error0.13—Unverified
3ET-NetMean Squared Error0.11—Unverified
4HyperE2VIDMean Squared Error0.08—Unverified
#ModelMetricClaimedVerifiedStatus
1FOMML10.02—Unverified
2Siarohin et al.L10.02—Unverified
#ModelMetricClaimedVerifiedStatus
1FOMMAED0.17—Unverified
2Siarohin et al.AED0.15—Unverified
#ModelMetricClaimedVerifiedStatus
1FOMMAED0.2—Unverified
2Siarohin et al.AED0.17—Unverified
#ModelMetricClaimedVerifiedStatus
1FOMMAED0.16—Unverified
2Siarohin et al.AED0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1FOMMAED0.13—Unverified
2Siarohin et al.AED0.13—Unverified
#ModelMetricClaimedVerifiedStatus
1First Order MotionL10.06—Unverified