  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teams (one withdrawn) have competed in the final testing phase.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.
