Chaoran Feng

According to our database, Chaoran Feng authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NOFA++: Tuning-Free NeRF-Based One-Shot Facial Avatar Reconstruction.

Wangbo Yu, Chaoran Feng, Li Yuan, Yonghong Tian

IEEE Trans. Circuits Syst. Video Technol., April, 2026

Enhancing Spatial Understanding in Image Generation via Reward Modeling.

Zhenyu Tang, Chaoran Feng, Yufan Deng, Jie Wu, Xiaojie Li, Rui Wang, Yunpeng Chen, Daquan Zhou

CoRR, February, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Next Patch Prediction for AutoRegressive Visual Generation.

Yatian Pang, Peng Jin, Shuo Yang, Bin Zhu, Bin Lin, Chaoran Feng, Zhenyu Tang, Liuhan Chen, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Views.

Zhankuo Xu, Chaoran Feng, Yingtao Li, Jianbin Zhao, Jiashu Yang, Wangbo Yu, Li Yuan, Yonghong Tian

CoRR, December, 2025

Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward.

Yuwei Niu, Weiyang Jin, Jiaqi Liao, Chaoran Feng, Peng Jin, Bin Lin, Zongjian Li, Bin Zhu, Weihao Yu, Li Yuan

CoRR, November, 2025

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

CoRR, May, 2025

NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations.

Zhenyu Tang, Chaoran Feng, Xinhua Cheng, Wangbo Yu, Jun Zhang, Yuan Liu, Xiaoxiao Long, Wenping Wang, Li Yuan

CoRR, March, 2025

AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene.

Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian

CoRR, January, 2025

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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Evagaussians: Event Stream Assisted Gaussian Splatting from Blurry Images.

Wangbo Yu, Chaoran Feng, Jianing Li, Jiye Tang, Jiashu Yang, Zhenyu Tang, Meng Cao, Xu Jia, Yuchao Yang, Li Yuan, Yonghong Tian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images.

Wangbo Yu, Chaoran Feng, Jiye Tang, Xu Jia, Li Yuan, Yonghong Tian

CoRR, 2024

2023

EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks.

Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023