Ivan Molodetskikh

According to our database, Ivan Molodetskikh authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation.

Ivan Molodetskikh, Kirill Malyshev, Mark Mirgaleev, Nikita Zagainov, Evgeney Bogatyrev, Dmitriy S. Vatolin

CoRR, May, 2026

Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content.

Evgeney Bogatyrev, Khaled Abud, Ivan Molodetskikh, Nikita Alutis, Dmitriy S. Vatolin

CoRR, February, 2026

VSRQAD: Video Super-Resolution Quality Assessment Dataset and Benchmark.

Artem Borisov, Evgeney Bogatyrev, Khaled Abud, Ivan Molodetskikh, Dmitriy S. Vatolin

IEEE Access, 2026

2025

Prominence-Aware Artifact Detection and Dataset for Image Super-Resolution.

Ivan Molodetskikh, Kirill Malyshev, Mark Mirgaleev, Nikita Zagainov, Evgeney Bogatyrev, Dmitriy S. Vatolin

CoRR, October, 2025

3D Engine-ready Photorealistic Avatars via Dynamic Textures.

Yifan Wang, Ivan Molodetskikh, Ondrej Texler, Dimitar Dinev

CoRR, March, 2025

AIM 2025 Challenge on Robust Offline Video Super-Resolution: Dataset, Methods and Results.

Nikolai Karetin, Ivan Molodetskikh, Dmitry Vatolin, Radu Timofte, Yixin Yang, Junyang Chen, Jiangxin Dong, Jinshan Pan, Zhihao Liu, Lishen Qu, Shihao Zhou, Jufeng Yang, Yuxuan Jiang, Siyue Teng, Chengxi Zeng, Fan Zhang, David Bull, Qi Tang, Jie Liu, Jie Tang, Gangshan Wu

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

2024

JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset.

Daria Tsereh, Mark Mirgaleev, Ivan Molodetskikh, Roman Kazantsev, Dmitriy S. Vatolin

CoRR, 2024

Machine vision-aware quality metrics for compressed image and video assessment.

Mikhail Dremin, Konstantin Kozhemyakov, Ivan Molodetskikh, Malakhov Kirill, Artur Sagitov, Dmitriy S. Vatolin

CoRR, 2024

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results.

Ivan Molodetskikh, Artem Borisov, Dmitriy S. Vatolin, Radu Timofte, Jianzhao Liu, Tianwu Zhi, Yabin Zhang, Yang Li, Jingwen Xu, Yiting Liao, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Yuqin Cao, Wei Sun, Weixia Zhang, Yinan Sun, Ziheng Jia, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Weihua Luo, Yupeng Z., Hong Yi

CoRR, 2024

Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?

Egor Kashkarov, Egor Chistov, Ivan Molodetskikh, Dmitriy S. Vatolin

CoRR, 2024

Machine Vision-Aware Quality Metrics for Compressed Image and Video Assessment.

Mikhail Dremin, Konstantin Kozhemyakov, Ivan Molodetskikh, Malakhov Kirill, Sagitov Artur, Dmitriy S. Vatolin

Proceedings of the Pattern Recognition - 27th International Conference, 2024

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results.

Ivan Molodetskikh, Artem Borisov, Dmitriy S. Vatolin, Radu Timofte, Jianzhao Liu, Tianwu Zhi, Yabin Zhang, Yang Li, Jingwen Xu, Yiting Liao, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Yuqin Cao, Wei Sun, Weixia Zhang, Yinan Sun, Ziheng Jia, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Weihua Luo, Yupeng Zhang, Hong Yi

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction.

Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric.

Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin

CoRR, 2023

2022

Temporally coherent person matting trained on fake-motion dataset.

Ivan Molodetskikh, Mikhail Erofeev, Andrey Moskalenko, Dmitriy S. Vatolin

Digit. Signal Process., 2022

Combining Contrastive and Supervised Learning for Video Super-Resolution Detection.

Viacheslav Meshchaninov, Ivan Molodetskikh, Dmitriy S. Vatolin

CoRR, 2022

2021

Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics.

Sergey Lavrushkin, Ivan Molodetskikh, Konstantin Kozhemyakov, Dmitriy S. Vatolin

Proceedings of the Stereoscopic Displays and Applications XXXII, 2021

2019

Perceptually Motivated Method for Image Inpainting Comparison.

Ivan Molodetskikh, Mikhail Erofeev, Dmitriy S. Vatolin

CoRR, 2019