Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
GSVR: 2D Gaussian-based Video Representation for 800+ FPS with Hybrid Deformation Field
Implicit neural representations for video have been recognized as a novel and promising form of video representation. Existing works pay more attention to improving video reconstruction quality but little attention to th…
QuantizationVideo CompressionVideo ReconstructionVideo Compression for Spatiotemporal Earth System Data
Large-scale Earth system datasets, from high-resolution remote sensing imagery to spatiotemporal climate model outputs, exhibit characteristics analogous to those of standard videos. Their inherent spatial, temporal, and…
Earth ObservationVideo CompressionMSNeRV: Neural Video Representation with Multi-Scale Feature Fusion
Implicit Neural representations (INRs) have emerged as a promising approach for video compression, and have achieved comparable performance to the state-of-the-art codecs such as H.266/VVC. However, existing INR-based me…
DecoderVideo CompressionAudio-Visual Driven Compression for Low-Bitrate Talking Head Videos
Talking head video compression has advanced with neural rendering and keypoint-based methods, but challenges remain, especially at low bit rates, including handling large head movements, suboptimal lip synchronization, a…
Neural RenderingVideo CompressionRethinking Generative Human Video Coding with Implicit Motion Transformation
Beyond traditional hybrid-based video codec, generative video codec could achieve promising compression performance by evolving high-dimensional signals into compact feature representations for bitstream compactness at t…
DecoderVideo CompressionGeneralized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
Gaussian and Laplacian entropy models are proved effective in learned point cloud attribute compression, as they assist in arithmetic coding of latents. However, we demonstrate through experiments that there is still unu…
Attributeparameter estimationVideo CompressionGenerative Models at the Frontier of Compression: A Survey on Generative Face Video Coding
The rise of deep generative models has greatly advanced video compression, reshaping the paradigm of face video coding through their powerful capability for semantic-aware representation and lifelike synthesis. Generativ…
BenchmarkingVideo CompressionHighly Efficient Non-Separable Transforms for Next Generation Video Coding
For the last few decades, the application of signal-adaptive transform coding to video compression has been stymied by the large computational complexity of matrix-based solutions. In this paper, we propose a novel param…
Video CompressionGenerative Latent Coding for Ultra-Low Bitrate Image and Video Compression
Most existing approaches for image and video compression perform transform coding in the pixel space to reduce redundancy. However, due to the misalignment between the pixel-space distortion and human perception, such sc…
Image CompressionVideo CompressionRobo-DM: Data Management For Large Robot Datasets
Recent results suggest that very large datasets of teleoperated robot demonstrations can be used to train transformer-based models that have the potential to generalize to new scenes, robots, and tasks. However, curating…
ManagementVideo CompressionNeural Video Compression with Context Modulation
Efficient video coding is highly dependent on exploiting the temporal redundancy, which is usually achieved by extracting and leveraging the temporal context in the emerging conditional coding-based neural video codec (N…
Video CompressionVideo Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
Video large language models (VideoLLM) excel at video understanding, but face efficiency challenges due to the quadratic complexity of abundant visual tokens. Our systematic analysis of token compression methods for Vide…
Video CompressionVideo UnderstandingHigher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model
Denoising diffusion models achieved impressive results on several image generation tasks often outperforming GAN based models. Recently, the generative capabilities of diffusion models have been employed for perceptual i…
DecoderDenoisingImage CompressionImage Generation+1Neural Video Compression using 2D Gaussian Splatting
The computer vision and image processing research community has been involved in standardizing video data communications for the past many decades, leading to standards such as AVC, HEVC, VVC, AV1, AV2, etc. However, rec…
Video CompressionBiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression
Recent forward prediction-based learned video compression (LVC) methods have achieved impressive results, even surpassing VVC reference software VTM under the Low Delay B (LDB) configuration. In contrast, learned bidirec…
Video CompressionEmerging Advances in Learned Video Compression: Models, Systems and Beyond
Video compression is a fundamental topic in the visual intelligence, bridging visual signal sensing/capturing and high-level visual analytics. The broad success of artificial intelligence (AI) technology has enriched the…
Video CompressionSR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution
Implicit Neural Representations (INRs) have garnered significant attention for their ability to model complex signals across a variety of domains. Recently, INR-based approaches have emerged as promising frameworks for n…
Super-ResolutionVideo CompressionNeural Stereo Video Compression with Hybrid Disparity Compensation
Disparity compensation represents the primary strategy in stereo video compression (SVC) for exploiting cross-view redundancy. These mechanisms can be broadly categorized into two types: one that employs explicit horizon…
Autonomous DrivingVideo CompressionLow-Rank Adaptation of Neural Fields
Processing visual data often involves small adjustments or sequences of changes, such as in image filtering, surface smoothing, and video storage. While established graphics techniques like normal mapping and video compr…
parameter-efficient fine-tuningVideo CompressionTVC: Tokenized Video Compression with Ultra-Low Bitrate
Tokenized visual representations have shown great promise in image compression, yet their extension to video remains underexplored due to the challenges posed by complex temporal dynamics and stringent bitrate constraint…
DecoderImage CompressionVideo Compression