Yunhao (Andy) Ge 葛云皓
Research Scientist @ NVIDIA
Email: yunhaog at nvidia dot com
Yunhao (Andy) Ge 葛云皓Research Scientist @ NVIDIA
Email: yunhaog at nvidia dot com |
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I am a Research Scientist at NVIDIA's Deep Imagination Research group. I have broad research interests in Computer Vision and Robotics, with a recent focus on building multimodal foundation models for physical AI. My research has been integrated into several products for NVIDIA, including NVIDIA Cosmos and NVIDIA Edify. I received my Ph.D. in Computer Science from University of Southern California advised by Prof. Laurent Itti, and was honored with the Amazon ML Fellowship. I was a Visiting Ph.D. Student at Stanford Vision and Learning Lab (SVL) advised by Prof. Jiajun Wu.
[2025/06/01] We have released Cosmos Predict2, SOTA world foundation model for robots and autonomous vehicles!
[2025/03/18] We have released Cosmos Transfer1, a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments!
[2025/02/07] One paper, DreamDistribution for generating diverse customized images, is accepted by ICLR 2025. Code released.
[2025/01/06] We have released Cosmos, a world foundation model platform for physical AI!
[2024/11/11] We have released Edify 3D, a cutting-edge technology for 3D generation!
[2024/11/11] We have released Edify Image, a family of diffusion models for photorealistic image generation!
[2024/7/30] GenUSD is proudly featured in the Real-Time Live! at SIGGRAPH 2024 .
[2024/5/15] One paper, BEHAVIOR Vision Suite for Customizable Dataset Generation, is accepted by CVPR 2024 (Highlight). Code released.
[2024/5/1] One paper, Visual Fact Checker, LLM Agent Tool Use for 2D/3D captioning, is accepted by CVPR 2024.
[2023/12/21] We release the paper and code of DreamDistribution for personalized 2D/3D generation.
[2023/12/18] Starting a new journey at NVIDIA Research as a Research Scientist.
[2023/09/23] One paper on 3D Copy-Paste is accepted by NeurIPS 2023.
[2023/07/26] One paper on Lifelong (Continual) Learning is accepted by ICCV 2023.
[2023/05/09] One paper on Shared Knowledge Lifelong Learning, a new Lifelong Learning paradigm, is accepted by TMLR.
[2023/02/27] One paper on Multi-modal models' Robustness and Generalization is accepted by CVPR 2023.
[2022/12/01] Starting a new journey at Stanford Vision and Learning (SVL) Lab as a Visiting Student Researcher, advised by Prof. Jiajun Wu.
[2022/08/16] I was awarded the Amazon ML Fellowship (2022-2023), and will be an Amazon Fellow at USC + Amazon Center on Secure & Trusted Machine Learning. Thank you Amazon!
[2022/08/16] One paper on Disentangled and Convex Representation learning is accepted by WACV 2023, code is coming soon.
[2022/07/03] Two papers on NeRF and Humanoid Neural Network are accepted by ECCV 2022, code are released.
[2022/05/31] I will be joining Google Research as a student researcher, advised by Dr. Jiaping Zhao , Dr. Jie Ren , Dr. Balaji Lakshminarayanan and Prof. Ming-Hsuan Yang.
[2022/01/20] Finally passed my qual exam and officially became a PhD Candidate now.
[2021/08/23] I will be joining Google Cloud AI as a student researcher, advised by Dr. Sercan Arik and Dr. Jinsung Yoon
[2021/07/15] USC News , Tech Xplore , Technology Networks and other media pressed our ICLR 2021 paper: Group-Supervised Learning (Enabling the 'imagination' of artificial intelligence)
[2021/05/17] I will be joining Computer Vision Group at Microsoft Research Redmond as a research intern in summer 2021, advised by Dr. Vibhav Vineet and Dr. Neel Joshi
[2021/04/07] Releasing Img2SceneGraph, a pipeline that transfers images to scene graphs with node attributes! Welcome to Download and try!
[2021/04/02] One paper (Graph Autoencoder for Graph Compression and Representation Learning) was accepted by Neural Compression Workshop @ICLR 2021 as Spotlight!
[2021/02/28] One paper (A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts) was accepted by CVPR 2021!
[2021/01/16] One paper (Beneficial Perturbation Network for designing general adaptive artificial intelligence systems) was accepted by TNNLS!
[2021/01/12] One paper (Zero-shot Synthesis with Group-Supervised Learning) was accepted by ICLR 2021!
[2020/09/14] Fonts dataset was proposed for fast testing and idea iteration on disentangled representation learning and zero-shot synthesis. Welcome to Download and try!
[2020/07/02] One paper (Pose Augmentation: Class-agnostic Object Pose Transformation) was accepted by ECCV 2020!
[2020/05/12] I will be joining UII America as a research intern in summer 2020, advised by Dr. Ziyan Wu and Dr. Srikrishna Karanam
[2019/08/12] I will be joining USC CS Ph.D. Program in fall 2019, advised by Prof. Laurent Itti.
[2019/07/01] One paper (Synthesis and inpainting-based MR-CT registration) was accepted by MICCAI 2019.
[2019/03/01] One paper (Unpaired Whole-Body Mr to CT Synthesis) was accepted by ISBI 2019.
Pre-training:
Cosmos Predict2 |
Cosmos-Predict1
Post-training:
Cosmos-Transfer1
Generation:
GenUSD |
Edify3D |
Edify Image |
BEHAVIOR Vision Suite |
3D Copy Paste |
Scenethesis |
ArtiScene
Understanding:
Visual Fact Checker |
Describe Anything
DreamDistribution | Neural-Sim | Group-Supervised Learning | DALL-E for Detection | Pose Augmentation
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Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control NVIDIA (Yunhao Ge: core contributor) [paper] [project page] [code] [huggingface] [video] |
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Cosmos: World Foundation Model Platform for Physical AI NVIDIA (Yunhao Ge: core contributor) Best AI + Best overall of CES 2025 [paper] [project page] [code] [huggingface] [video] [Demo API] |
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Describe Anything: Detailed Localized Image and Video Captioning Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui ICCV 2025. [paper] [code] [project page] [demo] |
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Edify 3D: Scalable High-Quality 3D Asset Generation NVIDIA (Yunhao Ge: core contributor) [paper] [project page] [video] |
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Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models NVIDIA (Yunhao Ge: core contributor) [paper] [project page] [video] |
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GenUSD: 3D scene generation made easy Core contributor SIGGRAPH 2024. [paper] [project page] |
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BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation Yunhao Ge*, Yihe Tang*, Jiashu Xu*, Cem Gokmen*, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu (*=equal contribution) CVPR 2024 (IEEE Conference on Computer Vision and Pattern Recognition). [paper] [code] [project page] [tools] Highlight |
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Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui CVPR 2024 (IEEE Conference on Computer Vision and Pattern Recognition). [paper] [video] [project page] |
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DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models Brian Nlong Zhao, Yuhang Xiao*, Jiashu Xu*, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet†, Yunhao Ge† (*=co-second author, †=equal contribution) ICLR 2025. [paper] [code] [project page] |
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3D Copy-Paste: Physically-Plausible Object Insertion for Monocular 3D Detection Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu NeurIPS 2023 (Advances in Neural Information Processing Systems). [paper] [code] [project page] |
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DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation Yunhao Ge*, Jiashu Xu*, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet (*=equal contribution) arXiv:2206.09592, 2022. [paper(Beyond Generation)] [paper(DALL-E for Detection)] [code] |
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Improving Zero-shot Generalization and Robustness of Multi-modal Models Yunhao Ge*, Jie Ren*, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, and Jiaping Zhao (*=equal contribution) CVPR 2023 (IEEE/ CVF International Conference on Computer Vision and Pattern Recognition). [paper] [code] [project page] |
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Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge, Harkirat Behl*, Jiashu Xu*, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, and Vibhav Vineet (*=equal contribution as second author) ECCV 2022 (European Conference on Computer Vision). |
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Zero-shot Synthesis with Group-Supervised Learning Yunhao Ge, Sami Abu-El-Haija, Gan Xin and Laurent Itti ICLR 2021 (International Conference on Learning Representations). [paper]
[code]
[project page]
[Fonts Dataset]
[USC Viterbi Press]
[知乎]
[AI科技评论] |
Last update: August 15, 2025