Video Frame Interpolation (VFI) is a fascinating and challenging problem in the computer
vision (CV) field, aiming to generate non-existing frames between two consecutive video …

Media production is facing tremendous challenges during processing and transmission, due
to large data volume, high computational complexity and real-time transmission …

Recent years have seen considerable research activities devoted to video enhancement
that simultaneously increases temporal frame rate and spatial resolution. However, the …

The target of space–time video super-resolution (STVSR) is to increase both the frame rate
(also referred to as the temporal resolution) and the spatial resolution of a given video …

In recent years, we have seen the success of deep video enhancement models. However,
the performance improvement of new methods has gradually entered a bottleneck period …

High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic
3D content at fine granularity. The acquisition of H2-Stereo video, however, remains …

Video frame interpolation methodologies endeavor to create novel frames betwixt extant
ones, with the intent of augmenting the video's frame frequency. However, current methods …

Video frame interpolation (VFI) is a technique that synthesises intermediate frames between
adjacent original video frames to enhance the temporal super‐resolution of the video …

We show that a limited dataset with fixed camera scene detection and a specific frame
extraction method contribute to efficient training of the CAIN model for frame interpolation …

Video frame interpolation is used to generate intermediate frames by estimating the
movement of pixels between the input frames. However, problems of blurring, object …