AIM 2020 Challenge on Video Temporal Super-Resolution

• URL: http://arxiv.org/abs/2009.12987v1
• Date: Mon, 28 Sep 2020 00:10:29 GMT
• Title: AIM 2020 Challenge on Video Temporal Super-Resolution
• Authors: Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee
• Abstract summary: Second AIM challenge on Video Temporal Super-Resolution (VTSR) This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR)
• Score: 118.46127362093135
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Videos in the real-world contain various dynamics and motions that may look unnaturally discontinuous in time when the recordedframe rate is low. This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis. From low-frame-rate (15 fps) videos, the challenge participants are required to submit higher-frame-rate (30 and 60 fps) sequences by estimating temporally intermediate frames. To simulate realistic and challenging dynamics in the real-world, we employ the REDS_VTSR dataset derived from diverse videos captured in a hand-held camera for training and evaluation purposes. There have been 68 registered participants in the competition, and 5 teams (one withdrawn) have competed in the final testing phase. The winning team proposes the enhanced quadratic video interpolation method and achieves state-of-the-art on the VTSR task.

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