Jiteng Mu

I am a Ph.D. student in Electrical and Computer Engineering at UC, San Diego starting from Fall 2020, advised by Xiaolong Wang and Nuno Vasconcelos.

Prior to join UCSD, I received my M.S.E degree in Robotics from Johns Hopkins University advised by Bloomberg Distinguished Professor Alan Yuille, and B.E. degree in Mechanical Engineering from Shandong University. I have also spent time as a research intern at Nvidia and Adobe.

Email / Google Scholar / Github

Recent News

[2025.02] EditAR accepted to CVPR 2025.

[2024.07] Editable Image Elements accepted to ECCV 2024.

[2023.07] ActorsNeRF accepted to ICCV 2023.

[2023.06] Starting internship at Adobe in San Francisco, with Taesung Park, Michaël Gharbi, Richard Zhang, Eli Shechtman.

[2022.03] CoordGAN accepted to CVPR 2022.

[2021.07] A-SDF accepted to ICCV 2021.

[2021.06] Starting internship at NVIDIA with Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz.

Publications

My research centers on controllable generation for both 2D and 3D content creation. I am also broadly interested in the intersection of computer vision, machine learning, robotics.

* indicates equal contributions.

	EditAR: Unified Conditional Generation with Autoregressive Models Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang CVPR, 2025 project page / paper / code
	IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Anand Kumar, Jiteng Mu, Nuno Vasconcelos in submission, 2024 project page / paper
	Learning Generalizable Feature Fields for Mobile Manipulation Ri-Zhao Qiu, Yafei Hu, Yuchen Song, Ge Yang, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian Scherer, Xiaolong Wang in submission*, 2024 project page / paper
	Editable Image Elements for Controllable Synthesis Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park ECCV, 2024 project page / paper
	ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang ICCV, 2023 project page / paper / code
	CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu CVPR, 2022 project page / paper / code