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Vladimir G. Kim
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I work on geometry analysis algorithms at the intersection of graphics, vision, and machine learning, enabling novel interfaces for creative tasks. My recent focus is on novel neural representations for geometric data with applications to interactive 3D modeling, scene understanding, font design, and character animation.
Papers69 papers
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european conference on computer vision, pp.667-683, (2020)
CVPR, pp.8244-8252, (2020)
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH), no. 4 (2020)
arXiv: Learning, (2019)
Elena Balashova,Amit H. Bermano,Vladimir G. Kim,Stephen DiVerdi,Aaron Hertzmann,Thomas A. Funkhouser
Comput. Graph. Forum, no. 1 (2019): 429-442
CVPR, pp.72-80, (2019)
WACV, pp.3335-3345, (2019)
pp.2730-2739 (2019)
Cited by8EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 7433-7443
Cited by20EIBibtex
CVPR 2020, (2019)
CVPR, (2019): 969-978
CVPR Workshops, pp.32-38, (2019)
CVPR, pp.3790-3799, (2019)
Comput. Graph. Forum, no. 5 (2019): 123-133
Roberto Dyke, C. Stride,Yu-Kun Lai,Paul L. Rosin, Mathieu Aubry, Amit Boyarski,Alexander M. Bronstein,Michael M. Bronstein,Daniel Cremers,Matthew Fisher,Thibault Groueix, D. Guo
pp.111-119 (2019)
Comput. Graph. Forum, no. 2 (2019): 367-378
ACM Trans. Graph., no. 6 (2018): 247:1-247:13
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