Dmitriy Smirnov

27 papers A* 7C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Infinite-Resolution Integral Noise Warping for Diffusion Models.
ICLR
Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi
2025 J jnl
Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation.
CoRR
Shihan Cheng, Nilesh Kulkarni, David Hyde, Dmitriy Smirnov
2024 — conf
A Diffusion-Based Texturing Pipeline for Production-Grade Assets.
SIGGRAPH Talks
Winnie Lin, Dmitriy Smirnov, Richard Smith
2024 J jnl
Infinite-Resolution Integral Noise Warping for Diffusion Models.
CoRR
Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi
2023 — conf
Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep Colorization.
DigiPro
Dmitriy Smirnov, Chloe LeGendre, Xueming Yu, Paul E. Debevec
2023 J jnl
Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep Colorization.
CoRR
Dmitriy Smirnov, Chloe LeGendre, Xueming Yu, Paul E. Debevec
2022 — —
Deep Learning on Geometry Representations
Dmitriy Smirnov
2022 A* conf
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries.
CVPR
David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon
2022 J jnl
Wassersplines for Neural Vector Field-Controlled Animation.
Comput. Graph. Forum
Paul Zhang, Dmitriy Smirnov, Justin Solomon
2022 J jnl
Wassersplines for Stylized Neural Animation.
CoRR
Paul Zhang, Dmitriy Smirnov, Justin Solomon
2021 J jnl
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries.
CoRR
David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon
2021 J jnl
HodgeNet: Learning Spectral Geometry on Triangle Meshes.
CoRR
Dmitriy Smirnov, Justin M. Solomon
2021 J jnl
HodgeNet: learning spectral geometry on triangle meshes.
ACM Trans. Graph.
Dmitriy Smirnov, Justin Solomon
2021 J jnl
Interactive All-Hex Meshing via Cuboid Decomposition.
CoRR
Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
2021 J jnl
Interactive all-hex meshing via cuboid decomposition.
ACM Trans. Graph.
Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
2021 A* conf
Learning Manifold Patch-Based Representations of Man-Made Shapes.
ICLR
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
2021 A* conf
MarioNette: Self-Supervised Sprite Learning.
NeurIPS
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon
2021 J jnl
MarioNette: Self-Supervised Sprite Learning.
CoRR
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
2021 A* conf
Polygonal Building Extraction by Frame Field Learning.
CVPR
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
2020 A* conf
Deep Parametric Shape Predictions Using Distance Fields.
CVPR
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2020 J jnl
Polygonal Building Segmentation by Frame Field Learning.
CoRR
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
2020 C conf
Regularized Building Segmentation by Frame Field Learning.
IGARSS
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
2019 J jnl
Deep Parametric Shape Predictions using Distance Fields.
CoRR
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2019 J jnl
Deep Sketch-Based Modeling of Man-Made Shapes.
CoRR
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
2018 J jnl
DTL-RnB: Algorithms and Tools for Summarizing the Space of DTL Reconciliations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Weiyun Ma, Dmitriy Smirnov, Juliet Forman, A. Schweickart, C. Slocum, S. Srinivasan, Ran Libeskind-Hadas
2017 J jnl
DTL reconciliation repair.
BMC Bioinform.
Weiyun Ma, Dmitriy Smirnov, Ran Libeskind-Hadas
2016 A* conf
Visualizing Scissors Congruence.
SoCG
Satyan L. Devadoss, Ziv Epstein, Dmitriy Smirnov