Matches in SemOpenAlex for { <https://semopenalex.org/work/W2748099314> ?p ?o ?g. }
- W2748099314 abstract "We present a learnt system for multi-view stereopsis. In contrast to recent learning based methods for 3D reconstruction, we leverage the underlying 3D geometry of the problem through feature projection and unprojection along viewing rays. By formulating these operations in a differentiable manner, we are able to learn the system end-to-end for the task of metric 3D reconstruction. End-to-end learning allows us to jointly reason about shape priors while conforming geometric constraints, enabling reconstruction from much fewer images (even a single image) than required by classical approaches as well as completion of unseen surfaces. We thoroughly evaluate our approach on the ShapeNet dataset and demonstrate the benefits over classical approaches as well as recent learning based methods." @default.
- W2748099314 created "2017-08-31" @default.
- W2748099314 creator A5001594573 @default.
- W2748099314 creator A5002914485 @default.
- W2748099314 creator A5070290758 @default.
- W2748099314 date "2017-08-17" @default.
- W2748099314 modified "2023-10-16" @default.
- W2748099314 title "Learning a Multi-View Stereo Machine" @default.
- W2748099314 cites W127013308 @default.
- W2748099314 cites W1776042733 @default.
- W2748099314 cites W1901129140 @default.
- W2748099314 cites W1929856797 @default.
- W2748099314 cites W1968567746 @default.
- W2748099314 cites W1992178727 @default.
- W2748099314 cites W2009422376 @default.
- W2748099314 cites W2054342162 @default.
- W2748099314 cites W2059496137 @default.
- W2748099314 cites W2063971957 @default.
- W2748099314 cites W2064675550 @default.
- W2748099314 cites W2080629029 @default.
- W2748099314 cites W2098079560 @default.
- W2748099314 cites W2104697781 @default.
- W2748099314 cites W2119493293 @default.
- W2748099314 cites W2129404737 @default.
- W2748099314 cites W2132055825 @default.
- W2748099314 cites W2138821028 @default.
- W2748099314 cites W2141690762 @default.
- W2748099314 cites W2142792228 @default.
- W2748099314 cites W2143255850 @default.
- W2748099314 cites W2150134683 @default.
- W2748099314 cites W2163309730 @default.
- W2748099314 cites W2164909551 @default.
- W2748099314 cites W2167335287 @default.
- W2748099314 cites W2168545424 @default.
- W2748099314 cites W2171056981 @default.
- W2748099314 cites W2174133987 @default.
- W2748099314 cites W2190691619 @default.
- W2748099314 cites W2237250383 @default.
- W2748099314 cites W2335364074 @default.
- W2748099314 cites W2342277278 @default.
- W2748099314 cites W2469266052 @default.
- W2748099314 cites W2495603374 @default.
- W2748099314 cites W2518780089 @default.
- W2748099314 cites W2521515698 @default.
- W2748099314 cites W2560722161 @default.
- W2748099314 cites W2570617923 @default.
- W2748099314 cites W2599802623 @default.
- W2748099314 cites W2606840594 @default.
- W2748099314 cites W2949130266 @default.
- W2748099314 cites W2949634581 @default.
- W2748099314 cites W2950635152 @default.
- W2748099314 cites W2950701417 @default.
- W2748099314 cites W2951179855 @default.
- W2748099314 cites W2951234442 @default.
- W2748099314 cites W2951261569 @default.
- W2748099314 cites W2963502507 @default.
- W2748099314 cites W2963739349 @default.
- W2748099314 cites W603908379 @default.
- W2748099314 cites W2337062560 @default.
- W2748099314 hasPublicationYear "2017" @default.
- W2748099314 type Work @default.
- W2748099314 sameAs 2748099314 @default.
- W2748099314 citedByCount "5" @default.
- W2748099314 countsByYear W27480993142017 @default.
- W2748099314 countsByYear W27480993142018 @default.
- W2748099314 countsByYear W27480993142021 @default.
- W2748099314 crossrefType "posted-content" @default.
- W2748099314 hasAuthorship W2748099314A5001594573 @default.
- W2748099314 hasAuthorship W2748099314A5002914485 @default.
- W2748099314 hasAuthorship W2748099314A5070290758 @default.
- W2748099314 hasConcept C107673813 @default.
- W2748099314 hasConcept C109950114 @default.
- W2748099314 hasConcept C11413529 @default.
- W2748099314 hasConcept C127413603 @default.
- W2748099314 hasConcept C134306372 @default.
- W2748099314 hasConcept C138885662 @default.
- W2748099314 hasConcept C153083717 @default.
- W2748099314 hasConcept C154945302 @default.
- W2748099314 hasConcept C176217482 @default.
- W2748099314 hasConcept C177769412 @default.
- W2748099314 hasConcept C202615002 @default.
- W2748099314 hasConcept C21547014 @default.
- W2748099314 hasConcept C2776401178 @default.
- W2748099314 hasConcept C2776502983 @default.
- W2748099314 hasConcept C31972630 @default.
- W2748099314 hasConcept C33923547 @default.
- W2748099314 hasConcept C41008148 @default.
- W2748099314 hasConcept C41895202 @default.
- W2748099314 hasConcept C57493831 @default.
- W2748099314 hasConcept C68537008 @default.
- W2748099314 hasConceptScore W2748099314C107673813 @default.
- W2748099314 hasConceptScore W2748099314C109950114 @default.
- W2748099314 hasConceptScore W2748099314C11413529 @default.
- W2748099314 hasConceptScore W2748099314C127413603 @default.
- W2748099314 hasConceptScore W2748099314C134306372 @default.
- W2748099314 hasConceptScore W2748099314C138885662 @default.
- W2748099314 hasConceptScore W2748099314C153083717 @default.
- W2748099314 hasConceptScore W2748099314C154945302 @default.
- W2748099314 hasConceptScore W2748099314C176217482 @default.
- W2748099314 hasConceptScore W2748099314C177769412 @default.