Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386066720> ?p ?o ?g. }
- W4386066720 abstract "Humans constantly interact with objects in daily life tasks. Capturing such processes and subsequently conducting visual inferences from a fixed viewpoint suffers from occlusions, shape and texture ambiguities, motions, etc. To mitigate the problem, it is essential to build a training dataset that captures free-viewpoint interactions. We construct a dense multi-view dome to acquire a complex human object interaction dataset, named HODome, that consists of ~71 M frames on 10 subjects interacting with 23 objects. To process the HODome dataset, we develop NeuralDome, a layer-wise neural processing pipeline tailored for multi-view video inputs to conduct accurate tracking, geometry reconstruction and free-view rendering, for both human subjects and objects. Extensive experiments on the HODome dataset demonstrate the effectiveness of NeuralDome on a variety of inference, modeling, and rendering tasks. Both the dataset and the NeuralDome tools will be disseminated to the community for further development, which can be found at https://juzezhang.github.io/NeuralDome" @default.
- W4386066720 created "2023-08-23" @default.
- W4386066720 creator A5015086148 @default.
- W4386066720 creator A5018141009 @default.
- W4386066720 creator A5019704254 @default.
- W4386066720 creator A5035783011 @default.
- W4386066720 creator A5046646036 @default.
- W4386066720 creator A5054640343 @default.
- W4386066720 creator A5056581371 @default.
- W4386066720 creator A5082228115 @default.
- W4386066720 creator A5087486639 @default.
- W4386066720 date "2023-06-01" @default.
- W4386066720 modified "2023-09-27" @default.
- W4386066720 title "NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions" @default.
- W4386066720 cites W1562699689 @default.
- W4386066720 cites W2044618760 @default.
- W4386066720 cites W2083624955 @default.
- W4386066720 cites W2099333815 @default.
- W4386066720 cites W2101032778 @default.
- W4386066720 cites W2469269585 @default.
- W4386066720 cites W2559085405 @default.
- W4386066720 cites W2573098616 @default.
- W4386066720 cites W2596210417 @default.
- W4386066720 cites W2768345177 @default.
- W4386066720 cites W2891959861 @default.
- W4386066720 cites W2944006115 @default.
- W4386066720 cites W2946584893 @default.
- W4386066720 cites W2978956737 @default.
- W4386066720 cites W2981978060 @default.
- W4386066720 cites W2982275673 @default.
- W4386066720 cites W3035291735 @default.
- W4386066720 cites W3035492592 @default.
- W4386066720 cites W3035678981 @default.
- W4386066720 cites W3096718826 @default.
- W4386066720 cites W3108325989 @default.
- W4386066720 cites W3136656704 @default.
- W4386066720 cites W3153220274 @default.
- W4386066720 cites W3161462225 @default.
- W4386066720 cites W3176327543 @default.
- W4386066720 cites W3178698064 @default.
- W4386066720 cites W3179249536 @default.
- W4386066720 cites W3181740976 @default.
- W4386066720 cites W3186630079 @default.
- W4386066720 cites W3190430389 @default.
- W4386066720 cites W3202432020 @default.
- W4386066720 cites W3202804820 @default.
- W4386066720 cites W3204859697 @default.
- W4386066720 cites W3205611333 @default.
- W4386066720 cites W3215052027 @default.
- W4386066720 cites W3216476011 @default.
- W4386066720 cites W4200382072 @default.
- W4386066720 cites W4200502498 @default.
- W4386066720 cites W4214502182 @default.
- W4386066720 cites W4214625585 @default.
- W4386066720 cites W4221151978 @default.
- W4386066720 cites W4229056714 @default.
- W4386066720 cites W4285981761 @default.
- W4386066720 cites W4288242633 @default.
- W4386066720 cites W4310443815 @default.
- W4386066720 cites W4312477504 @default.
- W4386066720 cites W4312679369 @default.
- W4386066720 cites W4312783246 @default.
- W4386066720 cites W4312817533 @default.
- W4386066720 cites W4312879788 @default.
- W4386066720 cites W4312908079 @default.
- W4386066720 cites W4312926154 @default.
- W4386066720 doi "https://doi.org/10.1109/cvpr52729.2023.00853" @default.
- W4386066720 hasPublicationYear "2023" @default.
- W4386066720 type Work @default.
- W4386066720 citedByCount "0" @default.
- W4386066720 crossrefType "proceedings-article" @default.
- W4386066720 hasAuthorship W4386066720A5015086148 @default.
- W4386066720 hasAuthorship W4386066720A5018141009 @default.
- W4386066720 hasAuthorship W4386066720A5019704254 @default.
- W4386066720 hasAuthorship W4386066720A5035783011 @default.
- W4386066720 hasAuthorship W4386066720A5046646036 @default.
- W4386066720 hasAuthorship W4386066720A5054640343 @default.
- W4386066720 hasAuthorship W4386066720A5056581371 @default.
- W4386066720 hasAuthorship W4386066720A5082228115 @default.
- W4386066720 hasAuthorship W4386066720A5087486639 @default.
- W4386066720 hasConcept C111919701 @default.
- W4386066720 hasConcept C119857082 @default.
- W4386066720 hasConcept C154945302 @default.
- W4386066720 hasConcept C199360897 @default.
- W4386066720 hasConcept C205711294 @default.
- W4386066720 hasConcept C2776214188 @default.
- W4386066720 hasConcept C31972630 @default.
- W4386066720 hasConcept C36464697 @default.
- W4386066720 hasConcept C41008148 @default.
- W4386066720 hasConcept C43521106 @default.
- W4386066720 hasConcept C50644808 @default.
- W4386066720 hasConcept C98045186 @default.
- W4386066720 hasConceptScore W4386066720C111919701 @default.
- W4386066720 hasConceptScore W4386066720C119857082 @default.
- W4386066720 hasConceptScore W4386066720C154945302 @default.
- W4386066720 hasConceptScore W4386066720C199360897 @default.
- W4386066720 hasConceptScore W4386066720C205711294 @default.
- W4386066720 hasConceptScore W4386066720C2776214188 @default.
- W4386066720 hasConceptScore W4386066720C31972630 @default.
- W4386066720 hasConceptScore W4386066720C36464697 @default.