SOTAVerified

Video Compression

Video Compression is a process of reducing the size of an image or video file by exploiting spatial and temporal redundancies within an image or video frame and across multiple video frames. The ultimate goal of a successful Video Compression system is to reduce data volume while retaining the perceptual quality of the decompressed data.

Source: Adversarial Video Compression Guided by Soft Edge Detection

Papers

Showing 101125 of 496 papers

TitleStatusHype
MGANet: A Robust Model for Quality Enhancement of Compressed VideoCode0
MNeRV: A Multilayer Neural Representation for VideosCode0
DeepCABAC: A Universal Compression Algorithm for Deep Neural NetworksCode0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
Lossless compression with state space models using bits back codingCode0
MCUCoder: Adaptive Bitrate Learned Video Compression for IoT DevicesCode0
Deep motion estimation for parallel inter-frame prediction in video compressionCode0
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete DiffusionCode0
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement LearningCode0
CVEGAN: A Perceptually-inspired GAN for Compressed Video EnhancementCode0
Learned Scalable Video Coding For Humans and MachinesCode0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual TokensCode0
Introducing AV1 Codec-Level Video SteganographyCode0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
LCCM-VC: Learned Conditional Coding Modes for Video CompressionCode0
Immersive Video Compression using Implicit Neural RepresentationsCode0
IBVC: Interpolation-driven B-frame Video CompressionCode0
Insights from Generative Modeling for Neural Video CompressionCode0
B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts ReductionCode0
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing FlowsCode0
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelCode0
Learning to Compress Videos without Computing MotionCode0
Generative Human Video Compression with Multi-granularity Temporal Trajectory FactorizationCode0
Show:102550
← PrevPage 5 of 20Next →

No leaderboard results yet.