SOTAVerified

Video Reconstruction

Source: Deep-SloMo

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 145 papers

TitleStatusHype
GSVR: 2D Gaussian-based Video Representation for 800+ FPS with Hybrid Deformation Field—0
Quanta Diffusion—0
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation—0
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction—0
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel SimulationCode1
Learning Adaptive and Temporally Causal Video Tokenization in a 1D Latent SpaceCode1
Compressing Human Body Video with Interactive Semantics: A Generative Approach—0
Few-shot Semantic Encoding and Decoding for Video Surveillance—0
Event Signal Filtering via Probability Flux Estimation—0
Meta-Continual Learning of Neural Fields—0
EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction—0
LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion ModelsCode2
Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video ReconstructionCode1
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
Rethinking Video Tokenization: A Conditioned Diffusion-based ApproachCode1
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
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation ModelCode7
Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks—0
Seeing World Dynamics in a NutshellCode2
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
SweetTokenizer: Semantic-Aware Spatial-Temporal Tokenizer for Compact Visual Discretization—0
Coherent3D: Coherent 3D Portrait Video Reconstruction via Triplane Fusion—0
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion ModelsCode1
Improved Video VAE for Latent Video Diffusion Model—0
bit2bit: 1-bit quanta video reconstruction via self-supervised photon predictionCode1
Neural Experts: Mixture of Experts for Implicit Neural Representations—0
LARP: Tokenizing Videos with a Learned Autoregressive Generative PriorCode2
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video ReconstructionCode2
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
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
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
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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