Nicholas Kolkin
Nicholas Kolkin
Research Engineer, Adobe
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Cited by
Cited by
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
Style transfer by relaxed optimal transport and self-similarity
N Kolkin, J Salavon, G Shakhnarovich
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Diode: A dense indoor and outdoor depth dataset
I Vasiljevic, N Kolkin, S Zhang, R Luo, H Wang, FZ Dai, AF Daniele, ...
arXiv preprint arXiv:1908.00463, 2019
Arf: Artistic radiance fields
K Zhang, N Kolkin, S Bi, F Luan, Z Xu, E Shechtman, N Snavely
European Conference on Computer Vision, 717-733, 2022
Deformable style transfer
SSY Kim, N Kolkin, J Salavon, G Shakhnarovich
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Neural neighbor style transfer
N Kolkin, M Kucera, S Paris, D Sykora, E Shechtman, G Shakhnarovich
arXiv e-prints, arXiv: 2203.13215, 2022
A data perspective on enhanced identity preservation for diffusion personalization
X He, Z Cao, N Kolkin, L Yu, H Rhodin, R Kalarot
arXiv preprint arXiv:2311.04315, 2023
Harnessing the conditioning sensorium for improved image translation
C Nederhood, N Kolkin, D Fu, J Salavon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Training deep networks to be spatially sensitive
N Kolkin, E Shechtman, G Shakhnarovich
Proceedings of the IEEE International Conference on Computer Vision, 5668-5677, 2017
Diverse sampling for self-supervised learning of semantic segmentation
M Mostajabi, N Kolkin, G Shakhnarovich
arXiv preprint arXiv:1612.01991, 2016
Generative Models: What do they know? Do they know things? Let's find out!
X Du, N Kolkin, G Shakhnarovich, A Bhattad
arXiv preprint arXiv:2311.17137, 2023
Diff-nst: Diffusion interleaving for deformable neural style transfer
D Ruta, GC Tarrés, A Gilbert, E Shechtman, N Kolkin, J Collomosse
arXiv preprint arXiv:2307.04157, 2023
Stochastic covariance compression
MJ Kusner, NI Kolkin, S Tyree, KQ Weinberger
stat 1050, 4, 2014
NeAT: Neural Artistic Tracing for Beautiful Style Transfer
D Ruta, A Gilbert, J Collomosse, E Shechtman, N Kolkin
arXiv preprint arXiv:2304.05139, 2023
Text-free learning of a natural language interface for pretrained face generators
X Du, RA Yeh, N Kolkin, E Shechtman, G Shakhnarovich
arXiv preprint arXiv:2209.03953, 2022
Image Data Compression for Covariance and Histogram Descriptors
MJ Kusner, NI Kolkin, S Tyree, KQ Weinberger
arXiv preprint arXiv:1412.1740, 2014
Personalized Residuals for Concept-Driven Text-to-Image Generation
C Ham, M Fisher, J Hays, N Kolkin, Y Liu, R Zhang, T Hinz
arXiv preprint arXiv:2405.12978, 2024
Image generation using a diffusion model
NI Kolkin, E Shechtman
US Patent App. 18/169,444, 2024
Adapting generative neural networks using a cross domain translation network
Y Li, N Kolkin, J Lu, E Shechtman
US Patent App. 17/815,451, 2024
Non-Parametric Neural Style Transfer
N Kolkin
arXiv preprint arXiv:2108.12847, 2021
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