Fangchang Ma

Apple (United Kingdom) — United Kingdom

Computer Science · Physical Sciences

13h-index1.6kcitations26works0.02yr avg
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Research Topics

Advanced Vision and Imaging(17), Robotics and Sensor-Based Localization(9), Computer Graphics and Visualization Techniques(8), Generative Adversarial Networks and Image Synthesis(7), Optical measurement and interference techniques(6)

Publications26 total

StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D
arXiv (Cornell University)·2023Open Access
Pseudo-Generalized Dynamic View Synthesis from a Video
arXiv (Cornell University)·2023Open Access
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction
2023· 25 cited
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
2023· 50 cited
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction
arXiv (Cornell University)·2023Open Access
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
arXiv (Cornell University)·2023· 6 citedOpen Access
Generative Multiplane Images: Making a 2D GAN 3D-Aware
arXiv (Cornell University)·2022Open Access
Texturify: Generating Textures on 3D Shape Surfaces
arXiv (Cornell University)·2022· 2 citedOpen Access
Texturify: Generating Textures on 3D Shape Surfaces
Lecture notes in computer science·2022· 46 cited
Generative Multiplane Images: Making a 2D GAN 3D-Aware
Lecture notes in computer science·2022· 51 cited
RetrievalFuse: Neural 3D Scene Reconstruction with a Database
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 24 cited
RetrievalFuse: Neural 3D Scene Reconstruction with a Database
arXiv (Cornell University)·2021Open Access
Sparse depth sensing for resource-constrained robots
The International Journal of Robotics Research·2019· 19 cited
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
2019· 22 citedOpen Access
Self-Supervised Sparse-to-Dense: Self-Supervised Depth Completion from LiDAR and Monocular Camera
2019· 464 cited
Algorithms for single-view depth image estimation
DSpace@MIT (Massachusetts Institute of Technology)·2019Open Access
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera
arXiv (Cornell University)·2018· 23 citedOpen Access
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
2018· 642 cited
Invertibility of Convolutional Generative Networks from Partial Measurements
DSpace@MIT (Massachusetts Institute of Technology)·2018· 49 citedOpen Access
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
arXiv (Cornell University)·2017· 100 citedOpen Access
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Frequent Co-authors

Sertaç Karaman(11), Qi Shan(7), Angela Dai(6), Matthias Nießner(5), Alexander G. Schwing(4), Ulaş Ayaz(4), Yawar Siddiqui(4), Justus Thies(4), Alex Colburn(3), Luca Carlone(3), Alex Colburn(3), Guilherme V. Cavalheiro(2), David Güera(2), Zhile Ren(2), Ziya Erkoç(2), Noah Stier(2), Anurag Ranjan(2), Yajie Yan(2), Liang Yang(2), Baptiste Angles(2)