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GeezerVison is showing jitengmu.github.io — Jiteng Mu

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

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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.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
Anand Kumar, Jiteng Mu, Nuno Vasconcelos
ICCV, 2025

project page / paper

EditAR: Unified Conditional Generation with Autoregressive Models
Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang
CVPR, 2025

project page / paper / code

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
IROS, 2025

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

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille
CVPR, 2022, oral

paper / code

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang
ICCV, 2021

project page / paper / supp / code / talk(long)

Learning from Synthetic Animals
Jiteng Mu*, Weichao Qiu*, Gregory Hager, Alan Yuille
CVPR, 2020, oral

paper / code / talk / slides / poster

Stolen from Jon Barron

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