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:2607.05737v3 Announce Type: replace Abstract: In the Versatile Video Coding~(VVC) standard, adaptive loop filter~(ALF), including Geometry transformation-based Adaptive Loop Filter~(GALF) and C...
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...
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:2610.15806v2 Announce Type: replace Abstract: Recovering visually faithful content from damaged video bitstreams is important for reliable multimedia communication and storage. Existing methods...
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:2608.21495v1 Announce Type: cross Abstract: The latest video coding standard, H.266/VVC, has demonstrated significant improvements in compression efficiency compared to H.265/HEVC. Despite its...
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...
The paper "Less is More: Encoder-only Audio-Visual Segmentation" introduces EASE, an encoder-only model for Audio‑Visual Semantic Segmentation (AVSS). EASE achieves state‑of‑the‑art accuracy while running at up to 365 FPS—about three times faster than previous Transformer‑based AVSS models—and trains in under 11 GPU‑hours. The authors demonstrate that simpler, faster architectures can match or exceed the performance of more complex models across various backbones and resolutions.
This paper presents GSCV++, a lightweight pipeline for 3D {G}aussian {S}platting (GS) sequences {C}ompression with standard {V}ideo codecs. To meet the requirements of low-complexity and hardware comp...
arXiv:2606. 13580v1 Announce Type: cross Abstract: Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range.
arXiv:2609.34367v2 Announce Type: replace Abstract: Learned image codecs (LICs) achieve high reconstruction quality, but their decoding speed is often insufficient for immersive virtual reality (VR)....
arXiv:2610.07795v1 Announce Type: new Abstract: This paper presents a novel effective Gaussian Splatting (GS) sequence Compression method that utilizes the Video codec (GSCV). Existing video-based GS...