SOTAVerified

Video Reconstruction

Source: Deep-SloMo

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 145 papers

TitleStatusHype
Bidirectional Learned Facial Animation Codec for Low Bitrate Talking Head Videos—0
Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking—0
CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing—0
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution—0
Generative Video Semantic Communication via Multimodal Semantic Fusion with Large Model—0
Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks—0
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation—0
MoDec-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splatting—0
Unified Reconstruction of Static and Dynamic Scenes from Events—0
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation—0
Coherent3D: Coherent 3D Portrait Video Reconstruction via Triplane Fusion—0
SweetTokenizer: Semantic-Aware Spatial-Temporal Tokenizer for Compact Visual Discretization—0
Improved Video VAE for Latent Video Diffusion Model—0
Neural Experts: Mixture of Experts for Implicit Neural Representations—0
RNA: Video Editing with ROI-based Neural Atlas—0
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings—0
Gradient events: improved acquisition of visual information in event cameras—0
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion ModelCode0
Optimal OnTheFly Feedback Control of Event Sensors—0
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding—0
A Simple Low-bit Quantization Framework for Video Snapshot Compressive ImagingCode0
Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations—0
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction—0
Feasibility of Neural Radiance Fields for Crime Scene Video Reconstruction—0
E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors—0
LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstruction—0
Efficient Event Stream Super-Resolution with Recursive Multi-Branch FusionCode0
Object-Attribute-Relation Representation Based Video Semantic Communication—0
Diffusion-Promoted HDR Video Reconstruction—0
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting—0
Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction—0
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering—0
Coherent 3D Portrait Video Reconstruction via Triplane Fusion—0
EVAN: Evolutional Video Streaming Adaptation via Neural Representation—0
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution—0
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition—0
Enhanced Event-Based Video Reconstruction with Motion Compensation—0
HDRFlow: Real-Time HDR Video Reconstruction with Large Motions—0
Place Anything into Any Video—0
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation—0
Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering—0
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset—0
Towards 4D Human Video StylizationCode0
Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesis—0
BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields—0
Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification—0
RIGID: Recurrent GAN Inversion and Editing of Real Face Videos—0
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution—0
Semi Supervised Meta Learning for Spatiotemporal Learning—0
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision—0
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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