Yifan Jiang

Yifan Jiang

Senior Research Scientsit at Apple AI/ML
Email: yifanjiang97 At utexas Dot edu
About

Hi, I am Yifan Jiang (江亦凡). I am a Senior Research Scientist at Apple AI/ML. I earned my PhD degree from University of Texas at Austin, VITA Group, supervised by Prof. Zhangyang (Atlas) Wang. Before that, I received my bachelor's degree from Huazhong University of Science and Technology. At Apple, I work on 3D Generative AI.

News:

Selected Publications
( show selected / show all by date / show all by topic )

Topics: Generative Model / Neural Rendering / Computational Photography / Others / (*: indicates equal contribution.)

FSGS: Real-time Few-shot View Synthesis Using Gaussian Splatting
Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang
[Paper] [Project Page] [Code]
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Vidit Goel*, Elia Peruzzo*, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
[Paper] [Code]
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
[Paper]
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
[Paper] [Project Page] [Code]
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
[Paper]
Broad Spectrum Image Deblurring via An Adaptive Super-Network
Qiucheng Wu, Yifan Jiang, Junru Wu, Victor Kulikov, Vidit Goel, Nikita Orlov, Humphrey Shi, Zhangyang Wang, Shiyu Chang
[Paper]
Chasing Better Deep Image Priors between Over- and Under-parameterization
Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
[Paper] [Code]
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
[Paper] [Project Page] [Code]
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
[Paper] [Project Page]
NeRF-SOS: Any-view Self-supervised Object Segmentation on Complex Real-world Scenes
Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
[Paper] [Project Page] [Code]
Signal Processing for Implicit Neural Representations
Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wang
[Paper] [Project Page] [Code]
ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks
Dejia Xu, Hayk Poghosyan, Shant Navasardyan, Yifan Jiang, Humphrey Shi, Zhangyang Wang
[Paper] [Code]
Unified Implicit Neural Stylization
Yifan Jiang*, Zhiwen Fan*, Peihao Wang*, Xinyu Gong, Dejia Xu, Zhangyang Wang
[Paper] [Project Page] [Code]
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
Yifan Jiang*, Dejia Xu*, Peihao Wang, Zhiwen Fan, Humphery Shi, Zhangyang Wang
[Paper] [Project Page] [Code]
MalleConv
Fast and High-Quality Image Denoising via Malleable Convolutions
Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
[Paper] [Project]
AutoX3D
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
Yifan Jiang*, Xinyu Gong*, Junru Wu, Humphery Shi, Zhicheng Yan, Zhangyang Wang
[Paper]
CERL
CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang
[Paper] [Code]
TransGAN
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang, Shiyu Chang, Zhangyang Wang
[Paper] [Code]
Covered Media: [Youtube Video] [机器之心] [青源 Live] [Quanta Magazine]
IA-RED^2
IA-RED^2: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogerio Feris, Aude Oliva
[Paper]
SSH
SSH: A Self-Supervised Framework for Image Harmonization
Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang
[Paper] [Code]
InstantNet
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
[Paper] [Code]
ISTA
A Design Space Study for LISTA and Beyond
Tianjian Meng*, Xiaohan Chen*, Yifan Jiang, Zhangyang Wang
[Paper] [Code]
AutoGAN
AutoGAN: Neural Architecture Search Meets Generative Adversarial Networks
Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang
[Paper] [Code]
Covered Media: [Synced AI Review]
EnlightenGAN
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
[Paper] [Code] [Supplementary] [Slides]
Covered Media: [IEEE SPS Webinar]

Click to show [Full Publications]

Click to show [Selected Publications]



Experiences
I've interned at Apple (AI/ML), Adobe (Marc Levoy's team), Google Research (GCam), Adobe (ART), and Bytedance AI Lab (US CV Lab).
Service
  • Reviewer or program committee member for CVPR'2021-2023, ICCV'2021-2023, ECCV'2022, ICML'2022-2023, NeurIPS'2022-2023, ICLR'2023, Siggraph'2022, Siggraph Aisa'2022, IROS'2023, WACV'2022, IJCAI'2023, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transaction on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), International Journal of Computer Vision (IJCV), NeuroComputing, IEEE Transactions on Computational Imaging (TCI).
  • Workshop Organizer for ECCV RLQ-TOD Workshop 2020
    • Invited Talk
  • [May 2023] "Extreme Novel-view Synthesis and 3D Content Creation using Deep Generative Prior" at Caltech & UCLA, and Apple
  • [Jan 2023] "Learning to Enhance Low-light Images without Paired Supervision" at [IEEE SPS Webinar], after my TIP work EnlightenGAN was highlighted as one of SPS's top-25 most downloaded articles on IEEE Xplore®, 2021-2022
  • [Jan 2022] "Fast and High Quality Image Denoising via Malleable Convolution" at Adobe, NextCam.
  • [July 2021] "Vision Transformer for Image Generation, Editing, and Processing" at Google Research, GCam.
  • [Mar 2021] "TransGAN: Two Transformers Can Make One Strong GAN, and That Can Scale Up." at [机器之心], [智源社区], [cai-workshop], University of Oregon





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