Pengxiang Yan | ByteDance

About Me

I am currently a Researcher at Intelligent Creation, ByteDance. I obtained my M.S. degree in computer science from Sun Yat-sen University in 2021, advised by Prof. Guanbin Li and Prof. Liang Lin. Before that, I received the B.E. degree in software engineering from Sun Yat-sen University in 2018.

Research Interests

Image Generation & Editing: AIGC, diffusion model, RLHF, image fusion, multi-layer image generation, and controllable visual content creation.
Pixel Understanding: Salient object detection/segmentation for video and image, referring image segmentation, open-vocabulary segmentation.

News

[2026-03] One paper was accepted to TPAMI.
[2025-10] One paper was selected as an ICCV 2025 Highlight.
[2025-06] Two papers were accepted to ICCV 2025.
[2023-02] One paper was accepted to CVPR 2023.
[2022-01] One paper was accepted to ISBI 2022.
[2021-11] One paper was accepted to AAAI 2022.
[2021-04] One paper was published in TMM.
[2021-03] One paper was published in CVIU.
[2019-07] One paper was accepted to ICCV 2019.

Publications

* Equal contribution

TPAMI

DreamFuse: Towards Realistic and Seamless Image Fusion Across Diverse Scenarios

Junjia Huang, Pengxiang Yan, Jiyang Liu, Jie Wu, Zhao Wang, Yitong Wang, Xinglong Wu, Liang Lin, Guanbin Li

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2026. IF: 23.6, JCR Q1.

Project Page BibTeX

ICCV

DreamFuse: Adaptive Image Fusion with Diffusion Transformer

Junjia Huang*, Pengxiang Yan*, Jiyang Liu*, Jie Wu, Zhao Wang, Yitong Wang, Liang Lin, Guanbin Li

IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

PDF Code Project Page Dataset BibTeX

ICCV

DreamLayer: Simultaneous Multi-Layer Generation via Diffusion Model

Junjia Huang*, Pengxiang Yan*, Jinhang Cai, Jiyang Liu, Zhao Wang, Yitong Wang, Xinglong Wu, Guanbin Li

IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

PDF Project Page Dataset BibTeX Highlight

CVPR

FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation

Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Yuxi Ren, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

PDF Code Project Page BibTeX

AAAI

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning

Pengxiang Yan*, Ziyi Wu*, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.

PDF Code BibTeX

ISBI

Early Prediction of Blastocyst Development via Time-Lapse Video Analysis

Xiang Xie*, Pengxiang Yan*, Fang-Ying Cheng*, Feng Gao, Qingyun Mai, Guanbin Li

IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022.

PDF BibTeX

TMM

Structured Attention Network for Referring Image Segmentation

Liang Lin*, Pengxiang Yan*, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li

IEEE Transactions on Multimedia (TMM), 2022. IF: 8.182, JCR Q1.

PDF BibTeX

CVIU

Instance-Level Salient Object Segmentation

Guanbin Li, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu

Computer Vision and Image Understanding (CVIU), 2021. IF: 3.876, JCR Q2.

PDF Code BibTeX

ICCV

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin

IEEE/CVF International Conference on Computer Vision (ICCV), 2019.

PDF Code BibTeX

Services

Conference Reviewers

Awards

[2021] Outstanding Graduate, Sun Yat-sen University.
[2017] Undergraduate National Scholarship, Sun Yat-sen University.

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