Nicholas I. Kolkin

30 papers A* 5A 1Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.
WACV
Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot
2025 J jnl
Relational Visual Similarity.
CoRR
Thao Nguyen, Sicheng Mo, Krishna Kumar Singh, Yilin Wang, Jing Shi, Nicholas I. Kolkin, Eli Shechtman, Yong Jae Lee, Yuheng Li
2025 J jnl
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models.
CoRR
Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin
2024 — conf
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer.
>ECCV Workshops (6)
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse
2024 — conf
NeAT: Neural Artistic Tracing for High Resolution Style Transfer.
>ECCV Workshops (6)
Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin
2024 A* conf
Personalized Residuals for Concept-Driven Text-to-Image Generation.
CVPR
Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz
2024 J jnl
Personalized Residuals for Concept-Driven Text-to-Image Generation.
CoRR
Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz
2024 — conf
TurboEdit: Instant Text-Based Image Editing.
ECCV (80)
Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman
2024 J jnl
TurboEdit: Instant text-based image editing.
CoRR
Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman
2023 J jnl
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.
CoRR
Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot
2023 J jnl
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer.
CoRR
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse
2023 J jnl
Generative Models: What do they know? Do they know things? Let's find out!
CoRR
Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad
2023 J jnl
NeAT: Neural Artistic Tracing for Beautiful Style Transfer.
CoRR
Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin
2022 — conf
ARF: Artistic Radiance Fields.
ECCV (31)
Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
2022 J jnl
ARF: Artistic Radiance Fields.
CoRR
Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
2022 J jnl
Neural Neighbor Style Transfer.
CoRR
Nicholas I. Kolkin, Michal Kucera, Sylvain Paris, Daniel Sýkora, Eli Shechtman, Greg Shakhnarovich
2022 J jnl
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators.
CoRR
Xiaodan Du, Raymond A. Yeh, Nicholas I. Kolkin, Eli Shechtman, Greg Shakhnarovich
2021 A* conf
Harnessing the Conditioning Sensorium for Improved Image Translation.
ICCV
Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
2021 J jnl
Harnessing the Conditioning Sensorium for Improved Image Translation.
CoRR
Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
2021 J jnl
Non-Parametric Neural Style Transfer.
CoRR
Nicholas I. Kolkin
2020 — conf
Deformable Style Transfer.
ECCV (26)
Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
2020 J jnl
Deformable Style Transfer.
CoRR
Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
2019 J jnl
DIODE: A Dense Indoor and Outdoor DEpth Dataset.
CoRR
Igor Vasiljevic, Nicholas I. Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter, Gregory Shakhnarovich
2019 A* conf
Style Transfer by Relaxed Optimal Transport and Self-Similarity.
CVPR
Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
2019 J jnl
Style Transfer by Relaxed Optimal Transport and Self-Similarity.
CoRR
Nicholas I. Kolkin, Jason Salavon, Greg Shakhnarovich
2017 A* conf
Training Deep Networks to be Spatially Sensitive.
ICCV
Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman
2017 J jnl
Training Deep Networks to be Spatially Sensitive.
CoRR
Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman
2016 J jnl
Diverse Sampling for Self-Supervised Learning of Semantic Segmentation.
CoRR
Mohammadreza Mostajabi, Nicholas I. Kolkin, Gregory Shakhnarovich
2015 A* conf
From Word Embeddings To Document Distances.
ICML
Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger
2014 J jnl
Stochastic Covariance Compression.
CoRR
Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger