Andreas Lugmayr

27 papers A* 4A 2Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps. CoRR Sandeep Mishra, Yasamin Jafarian, Andreas Lugmayr, Yingwei Li, Varsha Ramakrishnan, Srivatsan Varadharajan, Alan C. Bovik, Ira Kemelmacher-Shlizerman
2025	A	`conf`	ReBotNet: Fast Real-Time Video Enhancement. WACV Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini
2025	J	`jnl`	Test-Time Anchoring for Discrete Diffusion Posterior Sampling. CoRR Litu Rout, Andreas Lugmayr, Yasamin Jafarian, Srivatsan Varadharajan, Constantine Caramanis, Sanjay Shakkottai, Ira Kemelmacher-Shlizerman
2024	J	`jnl`	CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image. CoRR Wonseok Roh, Hwanhee Jung, Jong Wook Kim, Seunggwan Lee, Innfarn Yoo, Andreas Lugmayr, Seung-geun Chi, Karthik Ramani, Sangpil Kim
2024	A*	`conf`	Fashion-VDM: Video Diffusion Model for Virtual Try-On. SIGGRAPH Asia Johanna Suvi Karras, Yingwei Li, Nan Liu, Luyang Zhu, Innfarn Yoo, Andreas Lugmayr, Chris Lee, Ira Kemelmacher-Shlizerman
2024	J	`jnl`	Fashion-VDM: Video Diffusion Model for Virtual Try-On. CoRR Johanna Suvi Karras, Yingwei Li, Nan Liu, Luyang Zhu, Innfarn Yoo, Andreas Lugmayr, Chris Lee, Ira Kemelmacher-Shlizerman
2023	J	`jnl`	ReBotNet: Fast Real-time Video Enhancement. CoRR Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini
2022	—	`—`	Generative Image Enhancement. Andreas Lugmayr
2022	—	`conf`	NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops 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
2022	A	`conf`	Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
2022	A*	`conf`	RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool
2022	J	`jnl`	RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool
2021	A*	`conf`	DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
2021	J	`jnl`	DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows. CoRR Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
2021	A*	`conf`	Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. ICCV Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte
2021	J	`jnl`	Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. CoRR Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte
2021	—	`conf`	NTIRE 2021 Learning the Super-Resolution Space Challenge. CVPR Workshops Andreas Lugmayr, Martin Danelljan, Radu Timofte
2021	J	`jnl`	Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. CoRR Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
2020	—	`conf`	NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CVPR Workshops 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
2020	J	`jnl`	NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR 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
2020	—	`conf`	SRFlow: Learning the Super-Resolution Space with Normalizing Flow. ECCV (5) Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
2020	J	`jnl`	SRFlow: Learning the Super-Resolution Space with Normalizing Flow. CoRR Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
2019	—	`conf`	AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 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
2019	J	`jnl`	AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR 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
2019	—	`conf`	DIV8K: DIVerse 8K Resolution Image Dataset. ICCV Workshops Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte
2019	—	`conf`	Unsupervised Learning for Real-World Super-Resolution. ICCV Workshops Andreas Lugmayr, Martin Danelljan, Radu Timofte
2019	J	`jnl`	Unsupervised Learning for Real-World Super-Resolution. CoRR Andreas Lugmayr, Martin Danelljan, Radu Timofte