Daniil Pakhomov

According to our database, Daniil Pakhomov authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

AlbumFill: Album-Guided Reasoning and Retrieval for Personalized Image Completion.

Yu-Ju Tsai, Brian L. Price, Qing Liu, Luis Figueroa, Daniil Pakhomov, Zhihong Ding, Scott Cohen, Ming-Hsuan Yang

CoRR, May, 2026

Rethinking Global Text Conditioning in Diffusion Transformers.

Nikita Starodubcev, Daniil Pakhomov, Zongze Wu, Ilya Drobyshevskiy, Yuchen Liu, Zhonghao Wang, Yuqian Zhou, Zhe Lin, Dmitry Baranchuk

CoRR, February, 2026

2025

Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing.

Shilong Zhang, He Zhang, Zhifei Zhang, Chongjian Ge, Shuchen Xue, Shaoteng Liu, Mengwei Ren, Soo Ye Kim, Yuqian Zhou, Qing Liu, Daniil Pakhomov, Kai Zhang, Zhe Lin, Ping Luo

CoRR, December, 2025

EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning.

Xuan Ju, Tianyu Wang, Yuqian Zhou, He Zhang, Qing Liu, Nanxuan Zhao, Zhifei Zhang, Yijun Li, Yuanhao Cai, Shaoteng Liu, Daniil Pakhomov, Zhe Lin, Soo Ye Kim, Qiang Xu

CoRR, September, 2025

CompleteMe: Reference-Based Human Image Completion.

Yu-Ju Tsai, Brian L. Price, Qing Liu, Luis Figueroa, Daniil Pakhomov, Zhihong Ding, Scott Cohen, Ming-Hsuan Yang

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

Generative Image Layer Decomposition with Visual Effects.

Jinrui Yang, Qing Liu, Yijun Li, Soo Ye Kim, Daniil Pakhomov, Mengwei Ren, Jianming Zhang, Zhe Lin, Cihang Xie, Yuyin Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting.

Liangbin Xie, Daniil Pakhomov, Zhonghao Wang, Zongze Wu, Ziyan Chen, Yuqian Zhou, Haitian Zheng, Zhifei Zhang, Zhe Lin, Jiantao Zhou, Chao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Object-level Scene Deocclusion.

Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

2021

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP.

Daniil Pakhomov, Sanchit Hira, Narayani Wagle, Kemar E. Green, Nassir Navab

CoRR, 2021

Delta Sampling R-BERT for Limited Data and Low-Light Action Recognition.

Sanchit Hira, Ritwik Das, Abhinav Modi, Daniil Pakhomov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery.

Daniil Pakhomov, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks.

Daniil Pakhomov, Wei Shen, Nassir Navab

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Deep Residual Learning for Instrument Segmentation in Robotic Surgery.

Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery.

Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis C. García-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat P. Müller-Stich, Sébastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel

CoRR, 2018