Dmitriy Smirnov

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Learning Systems

Top Venues

ACM Trans. Graph.

Publications

Winnie Lin, Dmitriy Smirnov, Richard Smith
A Diffusion-Based Texturing Pipeline for Production-Grade Assets. SIGGRAPH Talks (2024)
Dmitriy Smirnov, Chloe LeGendre, Xueming Yu, Paul E. Debevec
Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep Colorization. DigiPro (2023)
Paul Zhang, Dmitriy Smirnov, Justin Solomon
Wassersplines for Neural Vector Field-Controlled Animation. Comput. Graph. Forum 41 (8) (2022)
David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CVPR (2022)
Paul Zhang, Dmitriy Smirnov, Justin Solomon
Wassersplines for Stylized Neural Animation. CoRR (2022)
Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
Interactive All-Hex Meshing via Cuboid Decomposition. CoRR (2021)
Dmitriy Smirnov, Justin M. Solomon
HodgeNet: Learning Spectral Geometry on Triangle Meshes. CoRR (2021)
Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
Interactive all-hex meshing via cuboid decomposition. ACM Trans. Graph. 40 (6) (2021)
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
Polygonal Building Extraction by Frame Field Learning. CVPR (2021)
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon
MarioNette: Self-Supervised Sprite Learning. NeurIPS (2021)
Dmitriy Smirnov, Justin Solomon
HodgeNet: learning spectral geometry on triangle meshes. ACM Trans. Graph. 40 (4) (2021)
David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CoRR (2021)
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
MarioNette: Self-Supervised Sprite Learning. CoRR (2021)
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
Learning Manifold Patch-Based Representations of Man-Made Shapes. ICLR (2021)
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
Regularized Building Segmentation by Frame Field Learning. IGARSS (2020)
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
Deep Parametric Shape Predictions Using Distance Fields. CVPR (2020)
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
Polygonal Building Segmentation by Frame Field Learning. CoRR (2020)
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
Deep Sketch-Based Modeling of Man-Made Shapes. CoRR (2019)
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
Deep Parametric Shape Predictions using Distance Fields. CoRR (2019)
Weiyun Ma, Dmitriy Smirnov, Juliet Forman, A. Schweickart, C. Slocum, S. Srinivasan, Ran Libeskind-Hadas
DTL-RnB: Algorithms and Tools for Summarizing the Space of DTL Reconciliations. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Weiyun Ma, Dmitriy Smirnov, Ran Libeskind-Hadas
DTL reconciliation repair. BMC Bioinform. 18 (S-3) (2017)
Satyan L. Devadoss, Ziv Epstein, Dmitriy Smirnov
Visualizing Scissors Congruence. SoCG (2016)