Multi-view 3D Models from Single Images with a Convolutional Network
- 16 September 2016
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableThis publication has 15 references indexed in Scilit:
- Semantically-enriched 3D models for common-sense knowledgePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Category-specific object reconstruction from a single imagePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Learning to generate chairs with convolutional neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Shape, Illumination, and Reflectance from ShadingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
- Inferring Unseen Views of PeoplePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD ModelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Reconstructing PASCAL VOCPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- TGV-FusionLecture Notes in Computer Science, 2011
- Transforming Auto-EncodersLecture Notes in Computer Science, 2011
- Face recognition based on fitting a 3D morphable modelIEEE Transactions on Pattern Analysis and Machine Intelligence, 2003