Z
Zhenyu Guo
Researcher at Chinese Academy of Sciences
Publications - Â 7
Citations - Â 174
Zhenyu Guo is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Bokeh & Rendering (computer graphics). The author has an hindex of 4, co-authored 7 publications receiving 87 citations.
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AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov,Radu Timofte,Zhilu Zhang,Ming Liu,Haolin Wang,Wangmeng Zuo,Jiawei Zhang,Ruimao Zhang,Zhanglin Peng,Sijie Ren,Linhui Dai,Xiaohong Liu,Chengqi Li,Jun Chen,Yuichi Ito,Bhavya Vasudeva,Puneesh Deora,Umapada Pal,Zhenyu Guo,Yu Zhu,Tian Liang,Chenghua Li,Cong Leng,Zhihong Pan,Baopu Li,Byung-Hoon Kim,Joonyoung Song,Jong Chul Ye,JaeHyun Baek,Magauiya Zhussip,Yeskendir Koishekenov,Hwechul Cho Ye,Xin Liu,Xueying Hu,Jun Jiang,Jinwei Gu,Kai Li,Pengliang Tan,Bingxin Hou +38 more
TL;DR: This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results, defining the state-of-the-art for practical image signal processing pipeline modeling.
Book ChapterDOI
AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey Ignatov,Radu Timofte,Ming Qian,Congyu Qiao,Jiamin Lin,Zhenyu Guo,Chenghua Li,Cong Leng,Jian Cheng,Juewen Peng,Xianrui Luo,Ke Xian,Zijin Wu,Zhiguo Cao,Densen Puthussery,C. V. Jiji,P. S. Hrishikesh,Melvin Kuriakose,Saikat Dutta,Sourya Dipta Das,Nisarg A. Shah,Kuldeep Purohit,Praveen Kandula,Maitreya Suin,A. N. Rajagopalan,M. B. Saagara,A. L. Minnu,A. R. Sanjana,S. Praseeda,Ge Wu,Xueqin Chen,Tengyao Wang,Max Zheng,Hulk Wong,Jay Zou +34 more
TL;DR: The second AIM realistic bokeh effect rendering challenge as discussed by the authors was the first attempt to learn a realistic shallow focus technique using a large-scale EBB! dataset consisting of 5K shallow/wide depth-of-field image pairs captured using the Canon 7D DSLR camera.
Book ChapterDOI
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov,Radu Timofte,Zhilu Zhang,Ming Liu,Haolin Wang,Wangmeng Zuo,Jiawei Zhang,Ruimao Zhang,Zhanglin Peng,Sijie Ren,Linhui Dai,Xiaohong Liu,Chengqi Li,Jun Chen,Yuichi Ito,Bhavya Vasudeva,Puneesh Deora,Umapada Pal,Zhenyu Guo,Yu Zhu,Tian Liang,Chenghua Li,Cong Leng,Zhihong Pan,Baopu Li,Byung-Hoon Kim,Joonyoung Song,Jong Chul Ye,JaeHyun Baek,Magauiya Zhussip,Yeskendir Koishekenov,Hwechul Cho Ye,Xin Liu,Xueying Hu,Jun Jiang,Jinwei Gu,Kai Li,Pengliang Tan,Bingxin Hou +38 more
TL;DR: The second AIM learned ISP challenge as mentioned in this paper focused on real-world RAW-to-RGB mapping problem, where the goal was to map the original low-quality RAW images captured by the Huawei P20 device to the same photos obtained with the Canon 5D DSLR camera.
Posted Content
AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey Ignatov,Radu Timofte,Ming Qian,Congyu Qiao,Jiamin Lin,Zhenyu Guo,Chenghua Li,Cong Leng,Jian Cheng,Juewen Peng,Xianrui Luo,Ke Xian,Zijin Wu,Zhiguo Cao,Densen Puthussery,C. V. Jiji,Hrishikesh P S,Melvin Kuriakose,Saikat Dutta,Sourya Dipta Das,Nisarg Shah,Kuldeep Purohit,Praveen Kandula,Maitreya Suin,A. N. Rajagopalan,Saagara M B,Minnu A L,Sanjana A R,S. Praseeda,Ge Wu,Xueqin Chen,Tengyao Wang,Max Zheng,Hulk Wong,Jay Zou +34 more
TL;DR: The proposed solutions significantly improved the baseline results, defining the state-of-the-art for practical bokeh effect rendering problem.
Book ChapterDOI
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
TL;DR: A novel generator called Glass-Net is proposed, which generates bokeh images not relying on complex hardware and the GAN-based method and perceptual loss are combined for rendering a realistic Bokeh effect in the stage of finetuning the model.