Biography

I am a postdoctoral researcher at Max Planck Institute for Informatics with Prof. Christian Theobalt. I received my Ph.D. degree of Computer Science & Engineering from Nanyang Technological University, Singapore in 2021, supervised by Prof. Shijian Lu. I also worked as research intern at Alibaba DAMO Academy. I obtained my bachelor degree in Communication Engineering from University of Electronic Science and Technology of China.
Coinciding with the dictum of “What I cannot create, I do not understand” by Richard Feynman, my research goals are developing & understanding intelligence emerged from the visual generation & rendering process (i.e., Generative AI). With Neural Rendering and Generative Models as general learning machine, the detailed research directions include:

  Rendering-induced intelligence, e.g., Evolutive Rendering, Neural Gauge Fields.
  Emergent generative intelligence, e.g., UNITE, IQ-VAE, SF-GAN.
  AI-generated content and data, e.g., EMLight, MoNCE

Call for papers for CVPR 2024 Workshops: Neural Rendering Intelligence and Generative Models for Computer Vision.

News

∙ [04, 2024] Invited talk on Learning to Represent and Render the 3D World at Visual Computing Group, Harvard University.
∙ [04, 2024] Invited talk on Towards Autonomous Scene Representation & Rendering at Jiajun Wu's Group, Stanford University.
∙ [04, 2024] Two papers are accepted to SIGGRAPH 2024 and TOG, respectively.
∙ [03, 2024] Invited talk on Autonomous Rendering Intelligence at SIGS, Tsinghua University.
∙ [02, 2024] Invited talk on Autonomous Rendering Intelligence at IDS, The University of Hong Kong.
∙ [12, 2023] We are organizing two workshops at CVPR 2024, including Neural Rendering Intelligence and 2nd Generative Models for Computer Vision.
∙ [09, 2023] One paper is accepted to IJCV, one is accepted to NeurIPS 2023.
∙ [08, 2023] One paper about Generative AI is accepted to TPAMI 2023.
∙ [07, 2023] Two papers are accepted to ICCV 2023.
∙ [03, 2023] Three papers are accepted to CVPR 2023.
∙ [01, 2023] Our Neural Gauge Fields is accepted to ICLR 2023.
∙ [12, 2022] We are organizing workshop on Generative Models for Computer Vision at CVPR 2023.

Research Overview














Publications

Evolutive Rendering Models

Fangneng Zhan, Hanxue Liang, Michael Niemeyer, Yifan Wang, Michael Oechsle, Adam Kortylewski, Cengiz Oztireli, Gordon Wetzstein, Christian Theobalt
Preprint, 2024
Paper | Project
A framework for the autonomous evolution of principal elements in rendering models.


StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting

Kunhao Liu, Fangneng Zhan, Muyu Xu, Christian Theobalt, Ling Shao, Shijian Lu
Preprint, 2024
Paper | Project | Code


General Neural Gauge Fields

Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt
International Conference on Learning Representations (ICLR), 2023
Paper | Project | Code
A general paradigm and framework for learning gauge transformations in neural fields.


Multimodal Image Synthesis and Editing: The Generative AI
Era

Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric Xing
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 (Top50 Popular Paper)
Paper | Project | Code


TriHuman: A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesis

Heming Zhu, Fangneng Zhan, Christian Theobalt, Marc Habermann
Arxiv Preprint, 2023
Paper | Project


DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski
Arxiv Preprint, 2023
Paper


3D Open-vocabulary Segmentation with Foundation Models

Kunhao Liu, Fangneng Zhan, Jiahui Zhang, Muyu Xu, Yingchen Yu, Abdulmotaleb El Saddik, Christian Theobalt, Eric Xing, Shijian Lu
Advances in Neural Information Processing Systems (NeurIPS), 2023
Paper | Code


WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields

Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu
IEEE International Conference on Computer Vision (ICCV), 2023
Paper | Project


A Deeper Analysis of Volumetric Relightiable Fields

Pramod Rao, Mallikarjun B R, Gereon Fox, Tim Weyrich, Bernd Bickel, Hanspeter Pfister, Wojciech Matusik, Fangneng Zhan, Ayush Tewari, Christian Theobalt, Mohamed Elgharib
International Journal of Computer Vision (IJCV), 2023 (Invited Paper)
Paper | Project


StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields

Kunhao Liu, Fangneng Zhan, Yiwen Chen, Jiahui Zhang, Yingchen Yu, Abdulmotaleb El Saddik, Shijian Lu, Eric Xing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2023
Paper | Project | Code


VMRF: View Matching Neural Radiance Fields

Jiahui Zhang, Fangneng Zhan, Rongliang Wu, Yingchen Yu, Wenqing Zhang, Song Bai, Xiaoqin Zhang, Shijian Lu
ACM International Conference on Multimedia (ACM MM), 2022
Paper


Auto-regressive Image Synthesis with Integrated Quantization

Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Changgong Zhang, Shijian Lu
European Conference on Computer Vision (ECCV), 2022 (Oral Presentation)
Paper | Code


Bi-level Feature Alignment for Versatile Image Translation and Manipulation

Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao
European Conference on Computer Vision (ECCV), 2022
Paper | Code


Marginal Correspondence for Conditional Image Generation

Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral Presentation)
Paper | Code | Supple


Modulated Contrast for Versatile Image Synthesis

Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Rongliang Wu, Shijian Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Paper | Code | Supple


GMLight: Lighting Estimation via Geometric Distribution Approximation

Changgong Zhang, Fangneng Zhan, Yingchen Yu, Rongliang Wu, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao
IEEE Transactions on Image Processing (TIP), 2022
Paper | Code | Dataset | Supple


Sparse Needlets for Lighting Estimation with Spherical Transport Loss

Fangneng Zhan, Changgong Zhang, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao
IEEE International Conference on Computer Vision (ICCV), 2021
Paper | Code | Dataset | Supple


EMLight: Lighting Estimation via Spherical Distribution Approximation

Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie
AAAI Conference on Artificial Intelligence (AAAI), 2021
Paper | Code | Dataset | Supple


WaveFill: A Wavelet-based Generation Network for Image Inpainting

Yingchen Yu, Fangneng Zhan, Shijian Lu, Jianxiong Pan, Feiying Ma, Xuansong Xie, Chunyan Miao
IEEE International Conference on Computer Vision (ICCV), 2021 (Oral Presentation)
Paper | Code


Unbalanced Feature Transport for Exemplar-based Image Translation

Fangneng Zhan, Yingchen Yu, Kaiwen Cui, Gongjie Zhang, Shijian Lu, Jianxiong Pan, Changgong Zhang, Feiying Ma, Xuansong Xie, Chunyan Miao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Paper | Project | Code | Supple


Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, Chunyan Miao
ACM International Conference on Multimedia (ACM MM), 2021 (Oral Presentation)
Paper | Code


ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification

Fangneng Zhan, Shijian Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Paper | Code | Supple


Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes

Fangneng Zhan, Shijian Lu, Chuhui Xue
European conference on computer vision (ECCV), 2018
Paper | Code | Dataset | Supple


Projects & Datasets

Virtual Object Relighting (VOR) Dataset for Lighting Estimation Evaluation

We create an evaluation dataset consisting of 3D scenes to conduct virtual object insertion & rendering in Blender. The lighting estimaiton performance is evaluated by using the predicted illumination map as the environment light in Blender.
Dataset | Paper | Code


Real time Scene Text Detection and Recognition System

We design a real time system for the end-to-end detection and recognition of scene texts in videos. The texts in one frame is first localized with a detection model, then a recognition model is employed to recognize the croped scene text images.
Code | Video


Academic Service

Talks:
∙ [04, 2024] Learning to Represent and Render the 3D World, Visual Computing Group, Harvard University
∙ [04, 2024] Towards Autonomous Scene Representation & Rendering, Jiajun Wu's Group, Stanford University
∙ [03, 2024] Autonomous Rendering Intelligence, SIGS, Tsinghua University.
∙ [02, 2024] Autonomous Rendering Intelligence, IDS, The University of Hong Kong.
∙ [03, 2023] On the Gauge Transformation of Neural Fields, The AI Talks.
Workshops & Tutorials:
∙ Organizer, CVPR 2024 Workshop: Neural Rendering Intelligence.
∙ Organizer, CVPR 2024 Workshop: Generative Models for Computer Vision.
∙ Organizer, CVPR 2023 Workshop: Generative Models for Computer Vision.
Program Committee Member:
∙ AAAI 2022, 2021, 2020
Conference & Journal Reviewer:
∙ ICML2022, ICLR 2022, NeurIPS 2021, 2020, CVPR 2022, 2021, 2020, 2019, ICCV 2021, 2019, ECCV 2020, BMVC 2021, 2020, ACCV 2020, WACV 2022, 2021
∙ TPAMI, TIP, TMM, Pattern Recognition, Neurocomputing