I am currently a research scientist at OpenAI, where I work on multimodal generation. Before joining OpenAI, I was a researcher at Reve and, previously, a research scientist at Netflix, working on machine learning and computer graphics for content creation. I earned my PhD in MIT CSAIL's Geometric Data Processing Group, advised by Prof. Justin Solomon. My research interests lie at the intersection of graphics, machine learning, computer vision, and geometry.
I have been fortunate to intern at Pixar Research, Adobe Research, Harvey Mudd College, the Lawrence Berkeley National Laboratory, and Google Maps. Before MIT, I earned my B.A. in Math and Computer Science from Pomona College, where I was advised by Prof. Vin de Silva.
In my spare time, I enjoy photography, cooking, and mixology.
@inproceedings{yu2026diffhdr,
title={DiffHDR: Re-exposing LDR Videos with Video Diffusion Models},
author={Yu, Zhengming and Ma, Li and He, Mingming and Isikdogan, Leo and Xu, Yuancheng and Smirnov, Dmitriy and Salamanca, Pablo and Mi, Dao and Delgado, Pablo and Yu, Ning and Philip, Julien and Li, Xin and Wang, Wenping and Debevec, Paul},
year={2026},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)}
}
@inproceedings{cheng2026lessismore,
title={Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation},
author={Cheng, Shihan and Kulkarni, Nilesh and Hyde, David and Smirnov, Dmitriy},
year={2026},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{deng2024infiniteresolution,
title={Infinite-Resolution Integral Noise Warping for Diffusion Models},
author={Deng, Yitong and Lin, Winnie and Li, Lingxiao and Smirnov, Dmitriy and Burgert, Ryan and Yu, Ning and Dedun, Vincent and Taghavi, Mohammed H.},
year={2025},
booktitle={Proceedings of the International Conference on Learning Representations (ICLR)}
}
@inproceedings{lin2024diffusiontexturing,
title={A Diffusion-Based Texturing Pipeline for Production-Grade Assets},
author={Lin, Winnie and Smirnov, Dmitriy and Smith, Richard},
year={2024},
booktitle={SIGGRAPH Talks}
}
@inproceedings{smirnov2023magentagreenscreen,
title={Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep Colorization},
author={Smirnov, Dmitriy and LeGendre, Chloe and Yu, Xueming and Debevec, Paul},
year={2023},
booktitle={The Digital Production Symposium (DigiPro)}
}
@inproceedings{zhang2022wassersplines,
title={Wassersplines for Stylized Neural Animation},
author={Zhang, Paul and Smirnov, Dmitriy and Solomon, Justin},
year={2022},
booktitle={Proceedings of the IEEE SIGGRAPH/Eurographics in Computer Animation (SCA)}
}
@phdthesis{smirnov2022deep,
title={Deep Learning on Geometry Representations},
school={Massachusetts Institute of Technology},
author={Smirnov, Dmitriy},
year={2022},
}
@inproceedings{palmer2022deepcurrents,
title={{DeepCurrents}: Learning Implicit Representations of Shapes with Boundaries},
author={Palmer, David and Smirnov, Dmitriy and Wang, Stephanie and Chern, Albert and Solomon, Justin},
year={2022},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{smirnov2021marionette,
title={{MarioNette}: Self-Supervised Sprite Learning},
author={Smirnov, Dmitriy and Gharbi, Micha\"el and Fisher, Matthew and Guizilini, Vitor and Efros, Alexei A. and Solomon, Justin},
year={2021},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)}
}
@article{li2021hex,
title={Interactive All-Hex Meshing via Cuboid Decomposition},
author={Li, Lingxiao and Zhang, Paul and Smirnov, Dmitriy and Abulnaga, Mazdak and Solomon, Justin},
month={December},
year={2021},
journal={ACM Transactions on Graphics (TOG)},
publisher={ACM},
volume={40},
number={6},
pages={256:1--256:17}
}
@article{smirnov2021hodgenet,
title={{HodgeNet}: Learning Spectral Geometry on Triangle Meshes},
author={Smirnov, Dmitriy and Solomon, Justin},
month={August},
year={2021},
journal={ACM Transactions on Graphics (TOG)},
publisher={ACM},
volume={40},
number={4},
pages={166:1--166:11}
}
@inproceedings{girard2021pbs,
title={Polygonal Building Segmentation by Frame Field Learning},
author={Girard, Nicolas and Smirnov, Dmitriy and Solomon, Justin and Tarabalka, Yuliya},
year={2021},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{smirnov2021patchbased,
title={Learning Manifold Patch-Based Representations of Man-Made Shapes},
author={Smirnov, Dmitriy and Bessmeltsev, Mikhail and Solomon, Justin},
year={2021},
booktitle={Proceedings of the International Conference on Learning Representations (ICLR)}
}
@inproceedings{smirnov2020dps,
title={Deep Parametric Shape Predictions using Distance Fields},
author={Smirnov, Dmitriy and Fisher, Matthew and Kim, Vladimir G. and Zhang, Richard and Solomon, Justin},
year={2020},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{smirnov2020tmt,
title={Triplet Merge Trees},
author={Smirnov, Dmitriy and Morozov, Dmitriy},
year={2020},
journal={Topological Methods in Data Analysis and Visualization V}
}