Chaoran Feng

Education

• [2020-2024] 🎉 I received my B.E. degree from Dalian University of Technology, awarded the Outstanding Graduate (Top 3%), ranking 1^st/85 for three years (2021-2023).
• [2024-Now] 💪 I'm pursuing my M.S. degree in ECE, PKU, supervised by Prof. Li Yuan and Prof. Yonghong Tian.

Biography

I am a second-year M.S. student in ECE at Peking University, and achieve a GPA of 3.97/4.0 in Peking University.

📌 My research interests focus on 3D Vision, Neuromorphic Vision, and Generative Model. Due to policies at Pengcheng Lab, some of my code and data are protected and cannot be shared publicly. However, if you'd like to compare with our proposed methods, feel free to reach out to me via email for further discussion.

News

• [2025-07] A paper is accepted by ACMMM 2025, E-4DGS. The code and paper are coming soon.
• [2025-06] Two papers are accepted by ICCV 2025, "EvaGaussians" and "Tune-Your-Style".
• [2025-03] 🔥 We release "NeuralGS", a novel framework that effectively adopts the neural field representation to encode the attributes of 3D Gaussians with multiple tiny MLPs.
• [2025-01] 🔥 We release "AE-NeRF", a novel framework for 3D reconstruction using event streams under noisy poses and in unbounded larger scenes.
• [2024-12] Two papers are accepted by AAAI 2025.
• [2024-05] 🔥 We release "EvaGaussians", a first approach that reconstruct sharp static 3D scenes with sparse RGB frames and event streams.

Selected Projects

• 

  🎨 Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splatting
  Yian Zhao, Rushi Ye, Ruochong Zheng, Zesen Cheng, Chaoran Feng*, Jiashu Yang, Pengchong Qiao, Chang Liu, Jie Chen†
  A novel style transfer framework with 3D Gaussian Splatting.
  ICCV 2025   [Paper]
• 

  🔥 Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle
  Zhenyu Tang*, Junwu Zhang*, Xinhua Cheng, Wangbo Yu, Chaoran Feng, Yatian Pang, Bin Lin, Li Yuan†
  The project is about 3D generation using a generation-reconstruction cycle for a unified diffusion process.
  AAAI 2025   [Paper] [Code 🌟200+]
• 

  🌀 NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations
  Zhenyu Tang*, Chaoran Feng*, Xinhua Cheng, Wangbo Yu, Junwu Zhang, Yuan Liu†, Xiaoxiao Long, Wenping Wang, Li Yuan†
  A novel framework using neural fields to encode 3D Gaussians with compact MLPs for large-scale scenes.
  Arxiv 2025   [Paper] [Code 🌟150+]
• 

  📦 D²GS: Deblurring Deformable 3D Gaussian Splatting for Motion-Blurred Causal Videos
  Chaoran Feng, Jianbin Zhao, Wangbo Yu, Zhenyu Tang, Yuchen Li, Li Yuan†, and Yonghong Tian†
  A novel framework to reconstruct high-quality 4D scenes from blurry videos.
  Notes: Paper is under review by T-CSVT!   [Paper]
• 

  👤 NOFA++: Tuning-free NeRF-based One-shot Facial Avatar Reconstruction
  Wangbo Yu, Chaoran Feng, Yanbo Fan†, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Baoyuan Wu, Yan-Pei Cao, Li Yuan†, and Yonghong Tian†
  One-shot 3D facial avatar reconstruction with high fidelity and dynamic reenactment from a single image.
  Notes: Paper is under review by T-PAMI!   [Paper]

• 

  🍡 GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation
  Yuchen Li*, Chaoran Feng^*,#, Zhenyu Tang, Kaiyuan Deng, Wangbo Yu, Yonghong Tian†, Li Yuan†
  The large-scale event dataset and a novel pipeline to simultate the event stream with 3DGS.
  Under Review by NeurIPS 2025   [Paper] [Code] [Datasets]
• 

  🎈 E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras
  Chaoran Feng, Zhenyu Tang, Wangbo Yu, Yatian Pang, Yian Zhao, Jianbin Zhao, Li Yuan†, Yonghong Tian†
  A novel framework to reconstruct high-fidelity scenes with fast-motion event cameras.
  Accepted bt ACMMM 2025   [Paper] [Code] [Datasets]
• 

  ✨ EvaGaussians: Event Assisted Gaussian Splatting from Blurry Images
  Wangbo Yu*, Chaoran Feng*, Jiye Tang, Jiashu Yang, Zhenyu Tang, Xu Jia, Yuchao Yang, Li Yuan†, Yonghong Tian†
  Event-assisted 3D reconstruction from blurry images with noisy poses and dynamic scenes.
  ICCV 2025   [Paper] [Code 🌟50+]
• 

  ⚡ AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes
  Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan†, Yonghong Tian†
  3D reconstruction with event streams under noisy poses and unbounded scenes.
  AAAI 2025   [Paper] [Code]

Award

• [2024-06]🎓 Outstanding Graduate, Dalian University of Technology (Top 3%)
• [2023-05]🏆 1^st Prize in the China Robotics and Artificial Intelligence Competition (Ranked 1^st/100+)
• [2022-10]🌟 Qubochuan Scholarship, highest scholarship of DUT, awarded to only 10 recipients each year
• [2021,2022,2023]🌟 Nation Scholarship, three times, Dalian University of Technology
• [2021,2022,2023]🌟 Academic Excellence Scholarship (First Class) (Ranked 1^st/85), Dalian University of Technology

Professional Activities

• Conference Reviewer: ICLR[25], CVPR[25], ICCV[25], NeurIPS[24-25], AAAI[25-26], IJCAI[25], ACM MM[25];
• Jounal Reviewer: TCSVT;