Timezone: »
Neural image compression (NIC) has outperformed traditional image codecs in rate-distortion (R-D) performance. However, it usually requires a dedicated encoder-decoder pair for each point on R-D curve, which greatly hinders its practical deployment. While some recent works have enabled bitrate control via conditional coding, they impose strong prior during training and provide limited flexibility. In this paper we propose Code Editing, a highly flexible coding method for NIC based on semi-amortized inference and adaptive quantization. Our work is a new paradigm for variable bitrate NIC, and experimental results show that our method surpasses existing variable-rate methods. Furthermore, our approach is so flexible that it can also achieves ROI coding and multi-distortion trade-off with a single decoder. Our approach is compatible to all NIC methods with differentiable decoder NIC, and it can be even directly adopted on existing pre-trained models.
Author Information
Chenjian Gao (SenseTime Research)
Tongda Xu (Tsinghua University)
Dailan He (The Chinese University of Hong Kong)
Yan Wang (sensetime)
Hongwei Qin (SenseTime)
More from the Same Authors
-
2022 Poster: Multi-Sample Training for Neural Image Compression »
Tongda Xu · Yan Wang · Dailan He · Chenjian Gao · Han Gao · Kunzan Liu · Hongwei Qin -
2023 Poster: Idempotent Learned Image Compression with Right-Inverse »
Yanghao Li · Tongda Xu · Yan Wang · Jingjing Liu · Ya-Qin Zhang -
2022 Spotlight: Multi-Sample Training for Neural Image Compression »
Tongda Xu · Yan Wang · Dailan He · Chenjian Gao · Han Gao · Kunzan Liu · Hongwei Qin -
2022 Spotlight: Lightning Talks 3B-1 »
Tianying Ji · Tongda Xu · Giulia Denevi · Aibek Alanov · Martin Wistuba · Wei Zhang · Yuesong Shen · Massimiliano Pontil · Vadim Titov · Yan Wang · Yu Luo · Daniel Cremers · Yanjun Han · Arlind Kadra · Dailan He · Josif Grabocka · Zhengyuan Zhou · Fuchun Sun · Carlo Ciliberto · Dmitry Vetrov · Mingxuan Jing · Chenjian Gao · Aaron Flores · Tsachy Weissman · Han Gao · Fengxiang He · Kunzan Liu · Wenbing Huang · Hongwei Qin -
2022 Spotlight: Lightning Talks 2B-2 »
Chenjian Gao · Rui Ding · Lingzhi LI · Fan Yang · Xingting Yao · Jianxin Li · Bing Su · Zhen Shen · Tongda Xu · Shuai Zhang · Ji-Rong Wen · Lin Guo · Fanrong Li · Kehua Guo · Zhongshu Wang · Zhi Chen · Xiangyuan Zhu · Zitao Mo · Dailan He · Hui Xiong · Yan Wang · Zheng Wu · Wenbing Tao · Jian Cheng · Haoyi Zhou · Li Shen · Ping Tan · Liwei Wang · Hongwei Qin -
2022 Spotlight: Flexible Neural Image Compression via Code Editing »
Chenjian Gao · Tongda Xu · Dailan He · Yan Wang · Hongwei Qin