Peng-Tao Jiang

My name is Peng-Tao Jiang (姜鹏涛). Currently, I am a lead researcher & engineer in the Quality Enhancement Center of vivo. Before that, I was a post-doc researcher at Zhejiang University, working with Prof. Chunhua Shen. I received my PhD from Nankai University, advised by Prof. Ming-Ming Cheng. I have also completed internships at SenseTime and Tencent YouTu.

My recent research interests mainly focus on the following topics:

Universal scene parsing and understanding: SDMatte (ICCV25), DepthMaster (arXiv 2024), MLoRE (CVPR 2024), TaskDiffusion (ICLR 2025)

Mobile image enhancement: RRW (CVPR24), LAL (ICML25), ConsisSR (arxiv 2024)

Generative models and applications: B-TTDM (ECCV24), DDAEBM (ICML24), ADM (ACM MM24)

Photography editing: Any2Bokeh (arxiv 25), MagicTryOn (arxiv 25), PPC (NeurIPS25)

Email / CV / Google Scholar / Github

News
[08.24,2025]: Three papers have been accepted by NeurIPS 2025.

[08.24,2025]: One paper has been accepted by TPAMI.

[06.26,2025]: Three papers have been accepted by ICCV 2025.

Research
* denotes equal contributions, # denotes corresponding authors.

Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
Zhuoxuan Cai, Jian Zhang, Xinbin Yuan, Peng-Tao Jiang, Wenxiang Chen, Bowen Tang, Lujian Yao, Qiyuan Wang, Jinwen Chen, Bo Li#
arxiv, 2025
paper /code /project

Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model
Yang Yang*, Siming Zheng*, Jinwei Chen, Boxi Wu#, Xiaofei He, Deng Cai, Bo Li, Peng-Tao Jiang#
arxiv, 2025
paper /code /project

MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
Guangyuan Li*, Siming Zheng*, Hao Zhang, Jinwei Chen, Junsheng Luan, Binkai Ou, Lei Zhao#, Bo Li, Peng-Tao Jiang#
arxiv, 2025
paper /code /project

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
Ziyang Song*, Zerong Wang*, Bo Li, Hao Zhang, Ruijie Zhu, Li Liu, Peng-Tao Jiang#, Tianzhu Zhang#
arxiv, 2025
paper /code /project

Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
Lujian Yao*, Siming Zheng*, Xinbin Yuan, Zhuoxuan Cai, Pu Wu, Jinwei Chen, Bo Li, Peng-Tao Jiang#
NeurIPS, 2025
paper /code /project

Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
Xinbin Yuan, Jian Zhang, Kaixin Li, Zhuoxuan Cai, Lujian Yao, Jie Chen, Enguang Wang, Qibin Hou, Jinwei Chen, Peng-Tao Jiang, Bo Li
NeurIPS, 2025
paper

Learning Differential Pyramid Representation for Tone Mapping
Qirui Yang, Yinbo Li, Peng-Tao Jiang, Qihua Cheng, Biting Yu, Yihao Liu, Huanjing Yue, Jingyu Yang
NeurIPS, 2025
paper /demo

Bidirectional Beta-Tuned Diffusion Model
Tianyi Zheng, Jiayang Zou, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li
TPAMI, 2025
paper

DSDNet: Raw Domain Demoireing via Dual Color-Space Synergy
Qirui Yang, Fangpu Zhang, Yeying Jin, Qihua Cheng, Peng-Tao Jiang, Huanjing Yue, Jingyu Yang
ACM MM, 2025
paper / demo

SDMatte: Grafting Diffusion Models for Interactive Matting
Longfei Huang, Yu Liang, Hao Zhang, Jinwei Chen, Wei Dong, Lunde Chen, Wanyu Liu, Bo Li, Peng-Tao Jiang#
ICCV, 2025
paper / code

PGformer: Proxy-Bridged Game Transformer for Multi-Person Highly Interactive Extreme Motion Prediction
Yanwen Fang, Jintai Chen, Peng-Tao Jiang, Chao Li, Yifeng Geng, Eddy K. F. Lam, Guodong Li
ICCV, 2025
paper / code

MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration
Tao Wang, Peiwen Xia, Bo Li, Peng-Tao Jiang, Zhe Kong, Kaihao Zhang, Tong Lu, Wenhan Luo
ICCV, 2025
paper / code

Learning Adaptive Lighting via Channel-Aware Guidance
Qirui Yang*, Peng-Tao Jiang*#, Hao Zhang, Jinwei Chen, Bo Li, Huanjing Yue, Jingyu Yang#
ICML, 2025
paper / demo

Multi-Task Dense Predictions via Unleashing the Power of Diffusion
Yuqi Yang*, Peng-Tao Jiang*, Qibin Hou#, Hao Zhang, Jinwei Chen, Bo Li
ICLR, 2025
paper / code

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
Qian Yu*, Peng-Tao Jiang*#, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang#, Huchuan Lu
ICLR, 2025
paper / code

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
Yuti Liu, Shice Liu, Junyuan Gao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li#
AAAI, 2025
paper

Boosting Vision State Space Model with Fractal Scanning
Haoke Xiao*, Lv Tang*, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li#
AAAI, 2025, ORAL
paper

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li#, Yang Tang#, Pan Zhou
NeurIPS, 2024
paper / code

Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection
Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li
ACM MM, 2024
paper / code

Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training
Tianyi Zheng, Cong Geng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang#, Bo Li#
ACM MM, 2024
paper

Beta-Tuned Timestep Diffusion Model
Tianyi Zheng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang#, Bo Li#
ACM MM, 2024
paper

Towards Training-free Open-world Segmentation via Image Prompt Foundation Models
Lv Tang*, Peng-Tao Jiang*, Haoke Xiao*, Bo Li#
IJCV, 2024
paper

Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li
ICML, 2024
paper

Revisiting Single Image Reflection Removal In the Wild
Yurui Zhu, Xueyang Fu, Peng-Tao Jiang, Hao Zhang, Qibin Sun, Jinwei Chen, Zheng-Jun Zha, Bo Li
CVPR, 2024
paper /code

Multi-Task Dense Prediction via Mixture of Low-Rank Experts
Yuqi Yang*, Peng-Tao Jiang*, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li
CVPR, 2024
paper /code

Traffic Scene Parsing through the TSP6K Dataset
Peng-Tao Jiang*, Yuqi Yang*, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen
CVPR, 2024
paper /code /dataset[password:Wi9qFT]

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
CVPR, 2023
paper /code

RDNeRF: Relative Depth Guided NeRF for Dense Free View Synthesis
Jiaxiong Qiu*, Yifan Zhu*, Peng-Tao Jiang, Ming-Ming Cheng, Bo Ren
TVC, 2023
paper /code

Deeply Explain CNN via Hierarchical Decomposition
Ming-Ming Cheng*, Peng-Tao Jiang*, Ling-Hao Han, Liang Wang, Philip Torr
IJCV, 2023
paper /demo

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei
CVPR, 2022
paper /code

Attention mechanisms in computer vision: A survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, and Shi-Min Hu
CVMJ, 2022
paper /code /Best Paper Award

Personalized Image Semantic Segmentation"
Yu Zhang, Chang-bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng
ICCV, 2021
paper /code

Online Attention Accumulation for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang*, Ling-Hao Han*, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
TPAMI, 2021
paper /code

Delving Deep into Label Smoothing
Chang-bin Zhang*, Peng-Tao Jiang*, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng
TIP, 2021
paper /code

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
Peng-Tao Jiang*, Chang-bin Zhang*, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
TIP, 2021
paper /code

Integral Object Mining via Online Attention Accumulation
Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong
ICCV, 2019
paper /code /project

Self-Erasing Network for Integral Object Attention
Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng
NeurIPS, 2018
paper /code

DEL: Deep Embedding Learning for Efficient Image Segmentation
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, and Ming-Ming Cheng
IJCAI, 2018
paper /code

People

Industry

vivo 2023.05-now, Lead Researcher
Develop new AI algorithms for mobile photography.

Tencent YouTu 2022.02-2022.05, Research Intern
Research: plam keypoint detection and object detection.
SenseTime 2018.11-2019.04, Research Intern
Research: change detection.

Academic Service

Reviewer for TPAMI, TIP, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, MM, etc.

Thanks for the source codes from Yang Cao, Jon Barron