Andreas Lugmayr

According to our database, Andreas Lugmayr authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image.

Wonseok Roh, Hwanhee Jung, Jong Wook Kim, Seunggwan Lee, Innfarn Yoo, Andreas Lugmayr, Seung-geun Chi, Karthik Ramani, Sangpil Kim

CoRR, 2024

Fashion-VDM: Video Diffusion Model for Virtual Try-On.

Johanna Karras, Yingwei Li, Nan Liu, Luyang Zhu, Innfarn Yoo, Andreas Lugmayr, Chris Lee, Ira Kemelmacher-Shlizerman

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

2023

ReBotNet: Fast Real-time Video Enhancement.

Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini

CoRR, 2023

2022

Generative Image Enhancement.

Andreas Lugmayr

PhD thesis, 2022

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution.

Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

NTIRE 2022 Challenge on Learning the Super-Resolution Space.

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

RePaint: Inpainting using Denoising Diffusion Probabilistic Models.

Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling.

Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte

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

DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows.

Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte

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

NTIRE 2021 Learning the Super-Resolution Space Challenge.

Andreas Lugmayr, Martin Danelljan, Radu Timofte

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

2020

SRFlow: Learning the Super-Resolution Space with Normalizing Flow.

Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte

Proceedings of the Computer Vision - ECCV 2020, 2020

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results.

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler

CoRR, 2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.

Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Unsupervised Learning for Real-World Super-Resolution.

Andreas Lugmayr, Martin Danelljan, Radu Timofte

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

DIV8K: DIVerse 8K Resolution Image Dataset.

Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019