1. Digital Grinnell Repository
2. Improved Point Transformation Methods For Self-Supervised Depth Prediction - ZbuffDepth Checkpoints

Improved Point Transformation Methods For Self-Supervised Depth Prediction - ZbuffDepth Checkpoints

Primary tabs

• View(active tab)
• Download
Previous3 of 3

This is a downloadable object of filetype zip and size 1.37 GB.

Download checkpoint_table

Pre-trained ZbuffDepth model weights (PyTorch 1.4.0 checkpoints) for depth prediction (Table II)

creator	Chen, Ziwen (Class of 2020)
creator	Guo, Zixuan (Class of 2021)
Title	ZbuffDepth Checkpoints
Index Date	2021
Publisher	Grinnell College
Type of Resource	software, multimedia, dataset
Digital Origin	born digital
Extent	1 archive
Media Type	application/zip
Language	English
Topic	Neural networks (Computer science)
Topic	Reproducible research
Topic	Computer software
Related Item	Digital Grinnell
Identifier (hdl)	http://hdl.handle.net/11084/10453
Identifier (local)	grinnell:10453
Access Condition	Copyright to this work is held by the author(s), in accordance with United States copyright law (USC 17). Readers of this work have certain rights as defined by the law, including but not limited to fair use (17 USC 107 et seq.).

Group Record
creator	Chen, Ziwen (Class of 2020)
creator	Guo, Zixuan (Class of 2021)
creator	Weinman, Jerod
Title	Improved Point Transformation Methods For Self-Supervised Depth Prediction
supporting host	Grinnell College. Department of Computer Science.
Index Date	2021
Publisher	Grinnell College
Digital Origin	born digital
Extent	3 objects
Language	English
Related Item	Digital Grinnell
Identifier (hdl)	http://hdl.handle.net/11084/10450
Identifier (local)	grinnell:10450
Access Condition	Copyright to this work is held by the author(s), in accordance with United States copyright law (USC 17). Readers of this work have certain rights as defined by the law, including but not limited to fair use (17 USC 107 et seq.).