Nicholas I. Kolkin

According to our database, Nicholas I. Kolkin authored at least 21 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SliderSpace: Decomposing the Visual Capabilities of Diffusion Models.

Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin

CoRR, February, 2025

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.

Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

TurboEdit: Instant Text-Based Image Editing.

Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman

Proceedings of the Computer Vision - ECCV 2024, 2024

DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer.

Dan Ruta, Gemma Canet Tarres, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

NeAT: Neural Artistic Tracing for High Resolution Style Transfer.

Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Personalized Residuals for Concept-Driven Text-to-Image Generation.

Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Generative Models: What do they know? Do they know things? Let's find out!

Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad

CoRR, 2023

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.

Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot

CoRR, 2023

NeAT: Neural Artistic Tracing for Beautiful Style Transfer.

Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin

CoRR, 2023

2022

Text-Free Learning of a Natural Language Interface for Pretrained Face Generators.

Xiaodan Du, Raymond A. Yeh, Nicholas I. Kolkin, Eli Shechtman, Greg Shakhnarovich

CoRR, 2022

Neural Neighbor Style Transfer.

Nicholas I. Kolkin, Michal Kucera, Sylvain Paris, Daniel Sýkora, Eli Shechtman, Greg Shakhnarovich

CoRR, 2022

ARF: Artistic Radiance Fields.

Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Non-Parametric Neural Style Transfer.

Nicholas I. Kolkin

CoRR, 2021

Harnessing the Conditioning Sensorium for Improved Image Translation.

Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deformable Style Transfer.

Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

DIODE: A Dense Indoor and Outdoor DEpth Dataset.

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

CoRR, 2019

Style Transfer by Relaxed Optimal Transport and Self-Similarity.

Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Training Deep Networks to be Spatially Sensitive.

Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Diverse Sampling for Self-Supervised Learning of Semantic Segmentation.

Mohammadreza Mostajabi, Nicholas I. Kolkin, Gregory Shakhnarovich

CoRR, 2016

2015

From Word Embeddings To Document Distances.

Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Stochastic Covariance Compression.

Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger

CoRR, 2014