Automatic high-quality rendering of anime scenes from complex real-world...
Conditional diffusion models have demonstrated impressive performance in...
Large text-to-image diffusion models have exhibited impressive proficien...
Recent advances in deep learning have witnessed many successful unsuperv...
Text-driven content creation has evolved to be a transformative techniqu...
Recent advances in face manipulation using StyleGAN have produced impres...
Recent automated machine learning systems often use learning curves rank...
Generating high-quality artistic portrait videos is an important and
des...
In a two-way relay channel (TWRC), physical-layer network coding (PNC)
d...
Generating high-quality and diverse human images is an important yet
cha...
The Graph Convolutional Networks (GCNs) have achieved excellent results ...
Unsupervised image-to-image translation aims to learn the translation be...
Recent studies on StyleGAN show high performance on artistic portrait
ge...
In this paper, we propose a novel encoder, called ShapeEditor, for
high-...
The Graph Neural Network (GNN) has achieved remarkable success in graph ...
Local causal structure learning aims to discover and distinguish direct
...
Domain adaptation solves the learning problem in a target domain by
leve...
In many applications, such as recommender systems, online advertising, a...
Fashion manipulation has attracted growing interest due to its great
app...
The past decades have witnessed the rapid development of image and video...
Sketch-based image editing aims to synthesize and modify photos based on...
Subspace clustering refers to the problem of clustering high-dimensional...
Subspace clustering aims to cluster unlabeled data that lies in a union ...
We study the problem of local causal discovery learning which identifies...
Domain adaptation which pays attention to exploiting the knowledge in so...
Text effects are combinations of visual elements such as outlines, color...
Artistic text style transfer is the task of migrating the style from a s...
Subspace clustering (SC) refers to the problem of clustering high-dimens...
Sparse Subspace Clustering (SSC) is one of the most popular methods for
...
Text effects transfer technology automatically makes the text dramatical...
In this work, we present a new framework for the stylization of text-bas...
In this work, we explore the problem of generating fantastic special-eff...