The use of deep learning (DL) to improve cone‐beam CT (CBCT) image quality has gained
popularity as computational resources and algorithmic sophistication have advanced in …

Most modern frame interpolation approaches rely on explicit bidirectional optical flows
between adjacent frames, thus are sensitive to the accuracy of underlying flow estimation in …

The digital age has brought a significant increase in video traffic. This traffic growth, driven
by rapid internet advancements and a surge in multimedia applications, presents both …

In computer graphics, image quality metrics have been used to guide algorithmic
development, to compare the performance of rendering techniques, and to improve on loss …

Abstract Diffusion Probabilistic Models (DPMs) have recently been employed for image
deblurring, formulated as an image-conditioned generation process that maps Gaussian …

Abstract We present Neural Strands, a novel learning framework for modeling accurate hair
geometry and appearance from multi-view image inputs. The learned hair model can be …

Video frame interpolation, the synthesis of novel views in time, is an increasingly popular
research direction with many new papers further advancing the state of the art. But as each …

While the evaluation of explanations is an important step towards trustworthy models, it
needs to be done carefully, and the employed metrics need to be well-understood …

The prognosis for patients with skin cancer improves with regular screening and checkups.
Unfortunately, many people with skin cancer do not receive a diagnosis until the disease …

Virtual clothing try-on, transferring a clothing image onto a target person image, is drawing
industrial and research attention. Both 2D image-based and 3D model-based methods …