arXiv Computer Vision
Optimized Adaptive Loop Filter in Versatile Video Coding
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arXiv Computer Vision
Sep 17
Flexible-Region Based Adaptive In-Loop Filter for Video Coding
The paper proposes a Flexible-Region Based Adaptive In-Loop Filter (FRALF) for video coding, extending the existing Adaptive Loop Filter (ALF) used in AVS3 by introducing multiple region partition templates such as 2×4, 4×4, 4×8, and 8×8. It also presents a filter coefficient merging algorithm that estimates distortion levels across different partition regions to further improve coding efficiency. Experimental results demonstrate that FRALF outperforms the current region-based ALF in AVS3 while keeping complexity increases relatively low.
arXiv Computer Vision
Sep 22
Overview of Cross-Component In-loop Filters in Video Coding Standards
arXiv:2607.12186v2 Announce Type: replace Abstract: In-loop filters have been comprehensively explored during the development of video coding standards due to their remarkable noise-reduction capabil...
Hugging Face Trending Papers
Jul 13
Overview of Cross-Component In-loop Filters in Video Coding Standards
In-loop filters have been comprehensively explored during the development of video coding standards due to their remarkable noise-reduction capability. In the early stage of video coding, in-loop filters, such as Deblocking Filter, Sample Adaptive Offset, and Adaptive Loop Filter, were performed separately for each component.
arXiv Computer Vision
Sep 7
Scalable Neural Video Representation Compression
Scalable Neural Video Representation Compression (S-NVRC) introduces a scalable implicit neural representation (INR) video codec that supports fine-grained bitrate and decoding‑complexity scalability from a single embedded bitstream. It uses a coarse‑to‑fine prefix for feature grids and a nested prefix for network layers, enabling a wide range of operating points while maintaining a single encoding. On the UVG dataset, S‑NVRC outperforms SHM 12.4 and multi‑layer VTM‑20.0 by 43.7 % and 5.6 % in BD‑rate, respectively, and offers flexible complexity scalability.
arXiv Computer Vision
Sep 7
Multi-scale Image Representation Compression
The paper introduces MIRC, an overfitted image codec that quantizes and entropy‑codes all components—including latents, synthesis network, and entropy models—within a single end‑to‑end rate‑distortion framework inspired by NVRC. It adds a multi‑scale representation with cross‑stage parameter sharing to capture cross‑scale redundancy, yielding a 10.5 % BD‑rate saving over VVC on the CLIC2020 professional set. MIRC offers multiple configurations ranging from 1.2 to 2.9 kMAC per pixel, allowing decoding complexity to be tuned to deployment needs.
arXiv Computer Vision
6d ago
GSCV++: Lightweight 3D Gaussian Splatting Sequence Compression via Standard Video Codecs
arXiv:2611.05359v2 Announce Type: replace Abstract: This paper presents GSCV++, a lightweight pipeline for 3D {G}aussian {S}platting (GS) sequences {C}ompression with standard {V}ideo codecs. To meet...