Matches in SemOpenAlex for { <https://semopenalex.org/work/W3119528065> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3119528065 abstract "Rendering an any-viewpoint image is extremely difficult for Generative Adversarial Networks. This is because conventional GANs do not understand 3D information under-lying a given viewpoint image such as an object shape and relationship between viewpoint and objects in 3D space. In this paper, we present how to perform a Viewpoint-Agnostic Image Rendering (VAIR), equipping a conditional GAN with a mechanism to reconstruct 3D information of the input view. VAIR realizes any-viewpoint image generation by manipulating a viewpoint in 3D space where the reconstructed instance shape is arranged. In addition, we convert the reconstructed 3D shape into a 2D representation for image-based conditional GAN, while preserving detail 3D information. The representation consists of a depth image and 2D semantic keypoint images, which are obtained by rendering the shape from a viewpoint. In the experiment, we evaluate using a CUB-200-2011 dataset, which contains few-samples biased a viewpoint such that covers only part of the target appearance. As a result, our VAIR clearly renders an any-viewpoint image." @default.
- W3119528065 created "2021-01-18" @default.
- W3119528065 creator A5004827711 @default.
- W3119528065 creator A5011507481 @default.
- W3119528065 creator A5043995369 @default.
- W3119528065 creator A5060513186 @default.
- W3119528065 date "2021-01-01" @default.
- W3119528065 modified "2023-09-27" @default.
- W3119528065 title "Viewpoint-agnostic Image Rendering" @default.
- W3119528065 cites W1580389772 @default.
- W3119528065 cites W2065343501 @default.
- W3119528065 cites W2108598243 @default.
- W3119528065 cites W2133665775 @default.
- W3119528065 cites W2412002662 @default.
- W3119528065 cites W2431874326 @default.
- W3119528065 cites W2593414223 @default.
- W3119528065 cites W2598591334 @default.
- W3119528065 cites W2808492412 @default.
- W3119528065 cites W2962759496 @default.
- W3119528065 cites W2962785568 @default.
- W3119528065 cites W2962793481 @default.
- W3119528065 cites W2962907415 @default.
- W3119528065 cites W2962912205 @default.
- W3119528065 cites W2963021791 @default.
- W3119528065 cites W2963073614 @default.
- W3119528065 cites W2963527086 @default.
- W3119528065 cites W2963709863 @default.
- W3119528065 cites W2963739349 @default.
- W3119528065 cites W2963800363 @default.
- W3119528065 cites W2963850211 @default.
- W3119528065 cites W2964024144 @default.
- W3119528065 cites W3009973819 @default.
- W3119528065 cites W3010302077 @default.
- W3119528065 cites W3034528136 @default.
- W3119528065 cites W3034680896 @default.
- W3119528065 cites W3035524985 @default.
- W3119528065 cites W3101590291 @default.
- W3119528065 doi "https://doi.org/10.1109/wacv48630.2021.00385" @default.
- W3119528065 hasPublicationYear "2021" @default.
- W3119528065 type Work @default.
- W3119528065 sameAs 3119528065 @default.
- W3119528065 citedByCount "0" @default.
- W3119528065 crossrefType "proceedings-article" @default.
- W3119528065 hasAuthorship W3119528065A5004827711 @default.
- W3119528065 hasAuthorship W3119528065A5011507481 @default.
- W3119528065 hasAuthorship W3119528065A5043995369 @default.
- W3119528065 hasAuthorship W3119528065A5060513186 @default.
- W3119528065 hasConcept C115961682 @default.
- W3119528065 hasConcept C121684516 @default.
- W3119528065 hasConcept C154945302 @default.
- W3119528065 hasConcept C205711294 @default.
- W3119528065 hasConcept C31972630 @default.
- W3119528065 hasConcept C36816356 @default.
- W3119528065 hasConcept C41008148 @default.
- W3119528065 hasConcept C44185422 @default.
- W3119528065 hasConceptScore W3119528065C115961682 @default.
- W3119528065 hasConceptScore W3119528065C121684516 @default.
- W3119528065 hasConceptScore W3119528065C154945302 @default.
- W3119528065 hasConceptScore W3119528065C205711294 @default.
- W3119528065 hasConceptScore W3119528065C31972630 @default.
- W3119528065 hasConceptScore W3119528065C36816356 @default.
- W3119528065 hasConceptScore W3119528065C41008148 @default.
- W3119528065 hasConceptScore W3119528065C44185422 @default.
- W3119528065 hasLocation W31195280651 @default.
- W3119528065 hasOpenAccess W3119528065 @default.
- W3119528065 hasPrimaryLocation W31195280651 @default.
- W3119528065 hasRelatedWork W1503414886 @default.
- W3119528065 hasRelatedWork W1863533157 @default.
- W3119528065 hasRelatedWork W2048402902 @default.
- W3119528065 hasRelatedWork W2095660797 @default.
- W3119528065 hasRelatedWork W2155492222 @default.
- W3119528065 hasRelatedWork W2166044122 @default.
- W3119528065 hasRelatedWork W2779438614 @default.
- W3119528065 hasRelatedWork W88163655 @default.
- W3119528065 hasRelatedWork W1966745937 @default.
- W3119528065 hasRelatedWork W3182299699 @default.
- W3119528065 isParatext "false" @default.
- W3119528065 isRetracted "false" @default.
- W3119528065 magId "3119528065" @default.
- W3119528065 workType "article" @default.