no code implementations • 15 Oct 2022 • Yung-Han Ho, Chih-Hsuan Lin, Peng-Yu Chen, Mu-Jung Chen, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang
To adapt our codec to YUV 4:2:0 content, we adopt a simple strategy of using space-to-depth and depth-to-space conversions.
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 • 5 Sep 2022 • Mu-Jung Chen, Yi-Hsin Chen, Peng-Yu Chen, Chih Hsuan Lin, Yung-Han Ho, Wen-Hsiao Peng
This work introduces a B-frame coding framework, termed B-CANF, that exploits conditional augmented normalizing flows for B-frame coding.
1 code implementation • 12 Jul 2022 • Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng
CANF-VC represents a new attempt that leverages the conditional ANF to learn a video generative model for conditional inter-frame coding.
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.
1 code implementation • 18 Jul 2021 • Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski
This paper introduces an end-to-end learned image compression system, termed ANFIC, based on Augmented Normalizing Flows (ANF).
no code implementations • 5 Apr 2021 • Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li
This paper introduces a dual-critic reinforcement learning (RL) framework to address the problem of frame-level bit allocation in HEVC/H. 265.
1 code implementation • ICCV 2019 • Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng, Guo-Lun Jin
Inspired by the success of sparse motion-based prediction for video compression, we propose a parametric video prediction on a sparse motion field composed of few critical pixels and their motion vectors.