Visualizing Scissors Congruence. - Satyan L. Devadoss; Ziv Epstein; Dmitriy Smirnov 001 (SoCG, 2016)

DTL reconciliation repair. - Weiyun Ma; Dmitriy Smirnov 001; Ran Libeskind-Hadas (BMC Bioinform., 2017)

DTL-RnB: Algorithms and Tools for Summarizing the Space of DTL Reconciliations. - Weiyun Ma; Dmitriy Smirnov 001; Juliet Forman; A. Schweickart; C. Slocum; S. Srinivasan; Ran Libeskind-Hadas (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Deep Sketch-Based Modeling of Man-Made Shapes. - Dmitriy Smirnov 001; Mikhail Bessmeltsev; Justin Solomon 001 (CoRR, 2019)

Deep Parametric Shape Predictions Using Distance Fields. - Dmitriy Smirnov 001; Matthew Fisher; Vladimir G. Kim; Richard Zhang 001; Justin Solomon 001 (CVPR, 2020)

Regularized Building Segmentation by Frame Field Learning. - Nicolas Girard; Dmitriy Smirnov 001; Justin Solomon 001; Yuliya Tarabalka (IGARSS, 2020)

Polygonal Building Segmentation by Frame Field Learning. - Nicolas Girard; Dmitriy Smirnov 001; Justin Solomon 001; Yuliya Tarabalka (CoRR, 2020)

Polygonal Building Extraction by Frame Field Learning. - Nicolas Girard; Dmitriy Smirnov 001; Justin Solomon 001; Yuliya Tarabalka (CVPR, 2021)

Learning Manifold Patch-Based Representations of Man-Made Shapes. - Dmitriy Smirnov 001; Mikhail Bessmeltsev; Justin Solomon 001 (ICLR, 2021)

MarioNette: Self-Supervised Sprite Learning. - Dmitriy Smirnov 001; Michaël Gharbi; Matthew Fisher; Vitor Guizilini; Alexei A. Efros; Justin M. Solomon (NeurIPS, 2021)

HodgeNet: learning spectral geometry on triangle meshes. - Dmitriy Smirnov 001; Justin Solomon 001 (ACM Trans. Graph., 2021)

Interactive all-hex meshing via cuboid decomposition. - Lingxiao Li; Paul Zhang; Dmitriy Smirnov 001; S. Mazdak Abulnaga; Justin Solomon 001 (ACM Trans. Graph., 2021)

DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. - David R. Palmer 001; Dmitriy Smirnov 001; Stephanie Wang; Albert Chern; Justin Solomon 001 (CVPR, 2022)

Wassersplines for Stylized Neural Animation. - Paul Zhang; Dmitriy Smirnov 001; Justin Solomon 001 (CoRR, 2022)

Deep Learning on Geometry Representations - Dmitriy Smirnov 001 (2022)

Wassersplines for Neural Vector Field-Controlled Animation. - Paul Zhang; Dmitriy Smirnov 001; Justin Solomon 001 (Comput. Graph. Forum, 2022)

Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep Colorization. - Dmitriy Smirnov 001; Chloe LeGendre; Xueming Yu; Paul E. Debevec (DigiPro, 2023)

A Diffusion-Based Texturing Pipeline for Production-Grade Assets. - Winnie Lin; Dmitriy Smirnov 001; Richard Smith (SIGGRAPH Talks, 2024)

Infinite-Resolution Integral Noise Warping for Diffusion Models. - Yitong Deng; Winnie Lin; Lingxiao Li; Dmitriy Smirnov 001; Ryan D. Burgert; Ning Yu; Vincent Dedun; Mohammad H. Taghavi (ICLR, 2025)