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@arXiv_csGR_bot@mastoxiv.page
2026-07-21 07:40:37

Packet-Loss Robust 3D Gaussian Compression via Atomic Packaging and GNN-based Error Concealment
Yuxuan Tao, Xuerui Ma, Hao Zhang, Chunhua Peng
arxiv.org/abs/2607.17916 arxiv.org/pdf/2607.17916 arxiv.org/html/2607.17916
arXiv:2607.17916v1 Announce Type: new
Abstract: 3D Gaussian Splatting (3DGS) and recent compression schemes such as HAC enable high-fidelity real-time neural rendering, but their bitstreams are fragile under packet loss during network streaming. Existing compression methods often separate correlated anchor attributes into independent streams, so losing one packet can create attribute-inconsistent broken anchors and severe rendering artifacts. We propose a packet-loss robust 3DGS transmission and error concealment framework. On the encoder side, anchor-level atomic packaging jointly encapsulates all attributes of each anchor, converting corrupted-attribute failures into clean missing-anchor erasures. Stratified random grouping further disperses packet losses across the spatial domain to avoid large contiguous voids. On the decoder side, we formulate recovery as prior-aware attribute inpainting. A Context-Aware Residual Interpolation (CARI) branch uses hash-grid prior predictions and neighboring residuals to build a robust baseline, while a lightweight two-layer graph neural network with cross-attention over hash-grid priors refines high-frequency attribute residuals. Attribute-wise confidence control falls back to interpolation when learned predictions are unreliable. Experiments under 20 percent random packet loss on BungeeNeRF, Mip-NeRF 360, and Tanks and Temples show that the proposed method substantially improves over no-concealment transmission and limits average PSNR degradation to about 3 dB relative to the lossless HAC reference.
toXiv_bot_toot

@leftsidestory@mstdn.social
2026-06-26 00:30:06

The Look on the Bystander 👀
凝视旁观者 👀
📷 Pentax MX
🎞️ Ilford FP4 Plus 125 (FF), expired 1994
If you like my work, Support by buying me a coffee or a roll of film from
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Wise

Ilford FP4 Plus 125 (FF) English A black-and-white photograph of a covered walkway with intricate white decorative patterns on a dark ceiling. The walkway is flanked by buildings with railings and lanterns. Several people are walking beneath the covered area, and the perspective creates a sense of depth. 中文 一张黑白照片，展示了一个带顶棚的走廊，顶棚上有精美的白色装饰图案，背景为深色。走廊两侧是带有栏杆和灯笼的建筑。几个人在走廊下行走，透视感强烈。
Ilford FP4 Plus 125 (FF) English A black-and-white street scene featuring a man in the foreground, wearing glasses and a jacket. He stands near a large cylindrical pillar with a decorative pattern. In the background, other people are visible, some holding shopping baskets, and buildings with signage line the street. 中文 一张黑白的街道场景照片，前景是一名戴眼镜、穿夹克的男子。他站在一个带装饰图案的大圆柱旁。背景中可以看到其他人，有些人拿着购物篮，街道两侧是带有招牌的建筑。
Ilford FP4 Plus 125 (FF) English A black-and-white photograph showing a large pile of walnuts in their shells. The walnuts are scattered across a flat surface, with some spilling out of a transparent plastic bag on the right side. The lighting creates strong shadows, emphasizing the texture of the walnut shells. 中文 一张黑白照片，展示了大量带壳的胡桃。胡桃散落在一个平坦的表面上，右侧有一些胡桃从透明的塑料袋中溢出。光线投射出明显的阴影，突出了胡桃壳的纹理。
Ilford FP4 Plus 125 (FF) English A black-and-white photograph of a long, narrow reflecting canal lined with trees in full bloom on both sides. The canal reflects the trees and the sky. People are walking along the edges of the canal, and a tall building is visible in the far background. 中文 一张黑白照片，展示了一个狭长的运河河道，两侧种满了盛开的树木。河道倒映着树木和天空。人们在河道边行走，远处可见一栋高楼。
@arXiv_quantph_bot@mastoxiv.page
2026-06-11 08:30:44

An iterative Ising decoder for quantum error correction codes
Yuanqi Liu, Weilei Zeng, Peixiang Li, Yantong Liu, Guangyao Huang, Yingwen Liu, Dongyang Wang, Junjie Wu, Lingling Lao
arxiv.org/abs/2606.12301 arxiv.org/pdf/2606.12301 arxiv.org/html/2606.12301
arXiv:2606.12301v1 Announce Type: new
Abstract: The Ising framework maps the decoding problem in quantum error correction onto ground-state optimization of a classical Hamiltonian, in which $X$-$Z$ error correlations enter as cross terms. Under phenomenological depolarizing noise, the exact joint formulation contains up to 8-body interactions for the toric code and 10-body for the $6.6.6$ color code. These high-order terms degrade solver convergence, inflate runtime, and raise the auxiliary spin overhead when embedding into native 2-body Ising hardware. In this work, we propose the iterative low-order decoding (ILOD) algorithm, which alternates between $X$- and $Z$-type sub-Hamiltonians, approximating cross-type correlations through Bayesian priors that reweight each type's couplings using the other type's inferred error configuration. This halves the maximum body count of interaction terms in the Hamiltonian, accelerating the solver, restoring convergence at larger code distances, and reducing the total spin count for 2-body embedding by a factor of $2.5$. For the toric code, ILOD attains a threshold of $4.73%$ versus $4.83%$ for the joint formulation, with the empirical runtime ratio scaling as $(0.81)^d$. For the $6.6.6$ color code, their thresholds agree within statistical uncertainty for small code distances, and ILOD remains convergent for larger distances where the joint formulation fails to converge despite a larger annealing budget.
toXiv_bot_toot

@nelson@tech.lgbt
2026-06-24 08:51:54

Made it to Italy! Our first night was at La Posta Vecchia, a lovely seaside hotel in a villa restored by J. Paul Getty in the 1960s. It's decorated with some beautiful pieces including this fine Piranesi map, the Ichnographia Campi Martii. There's a small museum for the 2nd c. BC Roman villa in the basement.