Falcary's Homepage

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.

🎓 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.

📰 News

[2025-11] Two paper are accepted by AAAI 2026, "NeuralGS" and "Next Patch Prediction".
[2025-09] A paper is accepted by NeurIPS 2025, "GS2E".
[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

* Equal Contribution # Project Lead

♠ T2I Model & R1-like Reasoning

Style-GRPO: Semantic-Aware Preference Optimization for Image Style Transfer Guided by Reward Modeling

Chaoran Feng*, Jianbin Zhao*, Miao Yu* , Yingtao Li , Zhenyu Tang , Wangbo Yu , Yian Zhao , Xiaomin Li , Li Yuan† , Yonghong Tian†

A novel framework for image style transfer using semantic-aware preference optimization guided by reward modeling.

Under Review

♠ 3D Reconstruction & Generative Model

🎨 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.

AAAI 2026 Paper Code 🌟150+

👤 NOFA++: Tuning-free NeRF-based One-shot Facial Avatar Reconstruction

Wangbo Yu, Chaoran Feng, Li Yuan†, and Yonghong Tian†

One-shot 3D facial avatar reconstruction with high fidelity and dynamic reenactment from a single image.

IEEE T-CSVT Paper

♠ Neuromorphic Vision

🍡 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.

NeurIPS 2025 D&B Track 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.

ACMMM 2025 Paper

✨ 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

🏆 Awards

[2025-09] 🌟 Ping'an Scholarship, Peking University
[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[25-26], CVPR[25-26], ICCV[25], NeurIPS[24-25], AAAI[25-26], IJCAI[25], ACM MM[25]
Journal Reviewer: TCSVT