In this work, we propose a new feed-forward arbitrary style transfer method, referred to as
StyleFormer, which can simultaneously fulfill fine-grained style diversity and semantic …

We introduce a simple and versatile framework for image-to-image translation. We unearth
the importance of normalization layers, and provide a carefully designed two-stream …

Robust visual recognition under adverse weather conditions is of great importance in real-
world applications. In this context, we propose a new method for learning semantic …

Multiple marginal matching problem aims at learning map**s to match a source domain to
multiple target domains and it has attracted great attention in many applications, such as …

Cross-view image geo-localization is a challenging task of estimating the geospatial location
of a street-view image by matching it with a database of geotagged aerial/satellite images …

Recent studies have made tremendous progress in neural style transfer (NST) and various
methods have been advanced. However, evaluating and improving the stylization quality …

Digital cartoon production requires extensive manual labor to colorize sketches with visually
pleasant color composition and color shading. During colorization, the artist usually takes an …

PowerPoint 演示文稿 Page 1 THE PREMIER CONFERENCE & EXHIBITION IN COMPUTER
GRAPHICS & INTERACTIVE TECHNIQUES VOLUMETRIC APPEARANCE STYLIZATION …

Style transfer has been an important topic both in computer vision and graphics. Since the
seminal work of Gatys et al. first demonstrates the power of stylization through optimization …

It is now possible to reconstruct dynamic human motion and shape from a sparse set of
cameras using Neural Radiance Fields (NeRF) driven by an underlying skeleton. However …