About Me

I am a research scientist and manager at the Video Computer Vision org at Apple, based out of Seattle. I lead an applied research team, with a focus on neural rendering and generative AI for applications in Apple Vision Pro, iPhones, and other platforms. I did my Ph.D. at MIT and my undergrad at HKUST.

Shipped Products

I contributed to depth estimation on iPhone Pro, depth estimation on Vision Pro, face reconstruction for Persona (3D Facetime on Vision Pro), among others.

Research

I’m broadly interested in computer vision, machine learning, and computer graphics. Much of my research is about neural rendering, 3D reconstruction, and generative models.

	StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D Pengsheng Guo, Hans Hao, Adam Caccavale, Alexander G. Schwing, Zhongzheng Ren, Alex Colburn, Edward Zhang, Fangchang Ma [arXiv]
	HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai ICCV, 2023 [arXiv] [webpage]
	FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang, Fangchang Ma, Baptiste Angles ICCV, 2023 [arXiv]
	Generative Multiplane Images: Making a 2D GAN 3D-Aware Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander Schwing, Alex Colburn ECCV, 2022 (Oral Presentation) [arXiv] [code] [webpage]
	Texturify: Generating Textures on 3D Shape Surfaces Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai ECCV, 2022 [arXiv] [video] [webpage]
	RetrievalFuse: Neural 3D Scene Reconstruction with a Database Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai ICCV, 2021 [arXiv] [code] [video] [webpage]
	Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera Fangchang Ma, Guilherme Venturelli Cavalheiro, Sertac Karaman ICRA, 2019 [arXiv] [code] [video]
	FastDepth: Fast Monocular Depth Estimation on Embedded Systems Diana Wofk*, Fangchang Ma*, Tien-Ju Yang, Sertac Karaman, Vivienne Sze ICRA, 2019 [arXiv] [code] [video] [webpage]
	Invertibility of Convolutional Generative Networks from Partial Measurements Fangchang Ma, Ulas Ayaz, Sertac Karaman NeurIPS, 2018 [pdf] [supplementary] [code]
	Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image Fangchang Ma, Sertac Karaman ICRA, 2018 [arXiv] [video] [pytorch code] [torch code]
	Sparse Depth Sensing for Resource-Constrained Robots Fangchang Ma, Luca Carlone, Ulas Ayaz, Sertac Karaman IROS, 2016 IJRR (extended version) [arXiv] [code] [video]
	On Sensing, Agility, and Computation Requirements for a Data-gathering Vehicle Fangchang Ma, Sertac Karaman WAFR, 2014 [arXiv]
	Velocity estimator via fusing inertial measurements and multiple feature correspondences from a single camera Guyue Zhou, Fangchang Ma, Zexiang Li, Tao Wang ROBIO, 2013 [pdf]