no code implementations • 22 Sep 2023 • Chia-Hao Kao, Yi-Hsin Chen, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng
This paper presents a Transformer-based image compression system that allows for a variable image quality objective according to the user's preference.
1 code implementation • ICCV 2023 • Yi-Hsin Chen, Ying-Chieh Weng, Chia-Hao Kao, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng
This work aims for transferring a Transformer-based image compression codec from human perception to machine perception without fine-tuning the codec.
1 code implementation • 18 May 2023 • Chia-Hao Kao, Ying-Chieh Weng, Yi-Hsin Chen, Wei-Chen Chiu, Wen-Hsiao Peng
Our prompt generation networks generate content-adaptive tokens according to the input image, an ROI mask, and a rate parameter.
no code implementations • 27 Sep 2022 • Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh
Recently, the dual-critic design is proposed to update the actor by alternating the rate and distortion critics.
no code implementations • 10 Mar 2022 • Yung-Han Ho, Yun Liang, Chia-Hao Kao, Wen-Hsiao Peng
More recently, the dual-critic design is proposed to update the actor network by alternating the rate and distortion critics.