CPE COIN++: Towards Optimized Implicit Neural Representation Compression Via Chebyshev Positional Encoding

Haocheng Chu, Shaohui Dai, Wenqi Ding, Xin Shi, Tianshuo Xu, Pingyang Dai, Shengchuan Zhang, Yan Zhang, Xiang Chang, Chih Min Lin, Fei Chao*, Changjiang Shang, Qiang Shen

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

COIN++ is a special variant of Implicit Neural Representation (INR), which encodes signals as modulations applied to the base INR network. It is becoming a promising method for applications in image compression. However, INR’s effectiveness is hindered by its inability to capture high-frequency details in the image representation. We propose a novel COIN++ framework using Chebyshev approximation to enhance high-frequency signal learning and image compression. In addition, we design an adaptable image partitioning technology and an integrated quantization method to further the image compression performance of COIN++ in the framework. Experiments demonstrate our framework significantly enhances both representational capacity and compression rate compared to the COIN++ baseline, with notable PSNR improvements.

Iaith wreiddiolSaesneg
TeitlPattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Proceedings
GolygyddionZhouchen Lin, Hongbin Zha, Ming-Ming Cheng, Ran He, Cheng-Lin Liu, Kurban Ubul, Wushouer Silamu, Jie Zhou
CyhoeddwrSpringer Nature
Tudalennau509-524
Nifer y tudalennau16
ISBN (Argraffiad)9789819786916
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2025
Digwyddiad7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024 - Urumqi, Tsieina
Hyd: 18 Hyd 202420 Hyd 2024

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol15039 LNCS
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349

Cynhadledd

Cynhadledd7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024
Gwlad/TiriogaethTsieina
DinasUrumqi
Cyfnod18 Hyd 202420 Hyd 2024

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