Haoming Cai /haʊˈmɪŋ tsaɪ/

Current: 4th-year CS PhD student @ CS Department of University of Maryland, College Park, advised by Professor Christopher Metzler.
Previously: Had a wonderful journey (2020-2022) in X-Pixel with my supervisor Prof. Dong Chao (Shanghai AI Lab) and mentor Dr. Gu Jinjin (now Professor at INSAIT).
Research: Physics-aware Gen AI Computational Imaging
Resume: PDF [Dec 2025]
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The Fun Zone
Notes

I'm actively seeking a 2026 summer internship opportunity.

Let's Chat!

Feel free to email me to schedule a meeting. I'm happy to chat about:

  • Research & Collaboration — discussing ideas and potential collaborations
  • Early career planning — sharing experiences or chill chat with undergraduate and master students
News
2025.06 Parametric Shadow Control accepted to ICCV'25, demonstrating parametric and intuitive shadow control for T2I.
2025.06 Named Outstanding Reviewer for CVPR 2025.
2025.05 Joined Adobe NextCam team (led by Marc Levoy) as summer intern. Mentored by Shumian and Zhoutong.
2025.02 Two papers accepted to CVPR 2025. Congratulations to Tianfu, Mingyang, and Jingxi.
Publications (* Indicates Equal Contribution) [Google Scholar]
Bridging GenAI and Computational Imaging & Photography (2024-Now)
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Vid2Bokeh: Synthesizing Large-Scale Light Field Datasets from Videos Enables Joint Focus and Depth-of-Field Image Editing
Haoming Cai, Zhoutong Zhang, Christopher Metzler, Shumian Xin
Check the playground in the website!

A large image bokeh dataset from video for joint focus and DoF editing on any image

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Parametric Shadow Control for Portrait Generation in Text-to-Image Diffusion Models
Haoming Cai, Tsung-Wei Huang, Shiv Gehlot, Brandon Y. Feng, Sachin Shah, Guan-Ming Su, Christopher Metzler
ICCV 2025

Add a shadow knob to AI portraits without heavy compute

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Flash-Split: 2D Reflection Removal with Flash Cues and Latent Separation
Tianfu Wang*, Mingyang Xie*, Haoming Cai, Sachin Shah, Christopher Metzler
CVPR 2025

Flash cues + diffusion = clean separation of reflection and transmission

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Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation
Jingxi Chen, Brandon Y. Feng, Haoming Cai, Tianfu Wang, Levi Burner, Dehao Yuan, Cornelia Fermuller, Christopher Metzler, Yiannis Aloimonos
CVPR 2025

Turn event streams into smooth videos by using video diffusion model

Seeing & Tracking & Reconstruction Under Challenging Imaging Condition (2023-Now)
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations
Haoming Cai*, Jingxi Chen*, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Cornelia Fermuller, Yiannis Aloimonos, Ashok Veeraraghavan, Christopher Metzler.
NeurIPS 2024

A neural video representation that low-passes temporal dimention to remove turbulence

Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats
Haoming Cai*, Mingyang Xie*, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jia-bin Huang, Christopher Metzler
ECCV 2024

Use flash-induced cues to separate reflections in 3D

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CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
Sachin Shah, Matthew Albert Chan, Haoming Cai, Jingxi Chen, Sakshum Kulshrestha, Chahat Deep Singh, Yiannis Aloimonos, Christopher Metzler.
CVPR 2024

Engineer the PSF so event cameras encode depth for free

Snow Removal in Video: A New Dataset and A Novel Method
Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu
ICCV 2023

A real snow video dataset and a model that removes snow consistently across frames

Image Metric Design Inspired by Human Visual System (2020-Now)
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Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
Tianhe Wu, Shuwei Shi, Haoming Cai , Mingdeng Cao, Jing Xiao, Yinqiang Zheng, Yujiu Yang
NeurIPS'23

A blind 360° IQA model built on multi-sequence distortion modeling

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Pipal: a large-scale image quality assessment dataset for perceptual image restoration
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S Ren, Chao Dong.
ECCV 2020

A large Image-Quality-Assessment dataset that captures perceptual artifacts from modern image restoration methods

Controllable & Efficient Image Restoration (2020 - 2022)
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Super-resolution by predicting offsets: An ultra-efficient super-resolution network for rasterized images
Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan.
ECCV 2022

Do super-resolution by predicting where to sample, not what to generate

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Efficient image super-resolution using vast-receptive-field attention
Haoming Cai*, Lin Zhou*, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao .
AIM Challenge @ ECCV 2022

Vast receptive field and more attention for super-resolution

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Blueprint separable residual network for efficient image super-resolution
Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong.
NTIRE Challenge @ CVPR 2023

Winner of Efficient Image Super-Resolution Track @ NTIRE workshop of CVPR’23

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Toward interactive modulation for photo-realistic image restoration
Haoming Cai, Jingwen He, Yu Qiao, Chao Dong.
CVPRW'21

2D controllable deblurring and denoising with a GAN-based neural network

Meet our Chief Vibe Officer @ Maryland Headquarter

Design and source code from Jon Barron's website