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PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding

Paper recorded by Signals 4 on 2026-09-08 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09

Category: cs.CV · 计算机视觉 · first seen 2026-09-09

Abstract

Implicit neural representation (INR) has achieved remarkable progress in novel view synthesis and image/video coding in recent years.Compared to conventional end-to-end image codecs, INR-based compressors demonstrate significant advantages in decoding complexity. However, their practical application has been hindered by the inferior encoding speed and underutilized decoding efficiency.In this work

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#117 most recent of 237 cs.CV papers we have recorded · ↑ newer: Task-driven Processing with Coarse-to-Fine Glimpse-based Active Percep · ↓ older: Spheriverse: 3D Scene Understanding from Spherical Observations in the
Cite this page: PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding: the #117 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pic-revisiting-inr-for-image-coding-with-fast-encoding-and-sub-millisecond-decod.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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