Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

25 November 2024

Papers citing "Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression"

12 / 12 papers shown

Title
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding Eric Lei Hamed Hassani Shirin Saeedi Bidokhti 48 3 0 12 Mar 2024
Towards image compression with perfect realism at ultra-low bitrates Marlene Careil Matthew Muckley Jakob Verbeek Stéphane Lathuilière DiffM 55 52 0 16 Oct 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 52 2 0 13 Oct 2023
Content Adaptive Latents and Decoder for Neural Image Compression Guanbo Pan Guo Lu Zhihao Hu Dong Xu 63 23 0 20 Dec 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 54 132 0 14 Sep 2022
Content-oriented learned image compression Meng Li Shang Gao Yihui Feng Yibo Shi Jing Wang 54 13 0 28 Jul 2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression Xiaosu Zhu Jingkuan Song Lianli Gao Fengcai Zheng Hengtao Shen 55 64 0 21 Mar 2022
Joint Global and Local Hierarchical Priors for Learned Image Compression Jun-Hyuk Kim Byeongho Heo Jong-Seok Lee 80 85 0 08 Dec 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 63 426 0 05 Nov 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression David C. Minnen Saurabh Singh 69 412 0 17 Jul 2020
Generative Adversarial Networks for Extreme Learned Image Compression E. Agustsson Michael Tschannen Fabian Mentzer Radu Timofte Luc Van Gool GAN 65 558 0 09 Apr 2018
Real-Time Adaptive Image Compression Oren Rippel Lubomir D. Bourdev 49 562 0 16 May 2017