Snavely, Noah

Unsupervised Learning of Depth and Ego-Motion from Video

Zhou, T., Brown, M., Snavely, N., & Lowe, D. G. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 2,910

Material recognition in the wild with the Materials in Context Database

Bell, S., Upchurch, P., Snavely, N., & Bala, K. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 516

Single-View View Synthesis With Multiplane Images

Tucker, R., & Snavely, N. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and ImagingGenerative Adversarial Networks and Image Synthesis

Cited by 324

Learning Gradient Fields for Shape Generation

Cai, R., Yang, G., Averbuch-Elor, H., Hao, Z., Belongie, S., Snavely, N., & Hariharan, B. (2020) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 225

Stereo Magnification: Learning View Synthesis using Multiplane Images

Zhou, T., Tucker, R., Flynn, J., Fyffe, G., & Snavely, N. (2018) · arXiv

Advanced Vision and Imaging3D Shape Modeling and Analysis

Cited by 150