Vector graphics are widely used in digital art and valued by designers f...
Medical image registration is a critical task that estimates the spatial...
Recent advancements in large-scale text-to-image diffusion models have
e...
Text-driven 3D scene generation is widely applicable to video gaming, fi...
Scalable Vector Graphics (SVG) is a popular vector image format that off...
Neural radiance fields (NeRFs) enable novel view synthesis with unpreced...
Neural implicit fields are powerful for representing 3D scenes and gener...
Looping videos are short video clips that can be looped endlessly withou...
Medical image segmentation is almost the most important pre-processing
p...
As a powerful representation of 3D scenes, the neural radiance field (Ne...
Point cloud segmentation is a fundamental task in 3D. Despite recent pro...
This paper focuses on analyzing and improving the commonsense ability of...
We propose an approach to simulate and render realistic water animation ...
We propose the first unified framework UniColor to support colorization ...
Multiple sketch datasets have been proposed to understand how people dra...
Due to inevitable noises introduced during scanning and quantization, 3D...
We propose a Few-shot Dynamic Neural Radiance Field (FDNeRF), the first
...
Implicit radiance functions emerged as a powerful scene representation f...
We present a learning-based framework, recurrent transformer network (RT...
Visual Question Answering (VQA) has witnessed tremendous progress in rec...
Hair editing is an interesting and challenging problem in computer visio...
We present CLIP-NeRF, a multi-modal 3D object manipulation method for ne...
Neural Radiance Field (NeRF) has gained considerable attention recently ...
Recent research shows deep neural networks are vulnerable to different t...
The intellectual property (IP) of Deep neural networks (DNNs) can be eas...
Despite recent breakthroughs in deep learning methods for image lighting...
Point cloud segmentation is a fundamental task in 3D. Despite recent pro...
We propose PD-GAN, a probabilistic diverse GAN for image inpainting. Giv...
Exemplar-based portrait stylization is widely attractive and highly desi...
Face image manipulation via three-dimensional guidance has been widely
a...
Contaminants such as dust, dirt and moisture adhering to the camera lens...
This paper studies the problem of StyleGAN inversion, which plays an
ess...
Image completion has made tremendous progress with convolutional neural
...
User-intended visual content fills the hole regions of an input image in...
Semantic image synthesis, translating semantic layouts to photo-realisti...
Despite the tremendous success, deep neural networks are exposed to seri...
Point cloud upsampling is vital for the quality of the mesh in
three-dim...
Image matting is a fundamental and challenging problem in computer visio...
Spatially-adaptive normalization (SPADE) is remarkably successful recent...
Deep neural networks have made tremendous progress in 3D point-cloud
rec...
Despite the recent success of face image generation with GANs, condition...
Despite tremendous success in many application scenarios, deep learning ...
One-shot weight sharing methods have recently drawn great attention in n...
Image-to-Image (I2I) translation is a heated topic in academia, and it a...
We propose to restore old photos that suffer from severe degradation thr...
We propose a novel framework to produce cartoon videos by fetching the c...
Sketch-to-image (S2I) translation plays an important role in image synth...
We propose to restore old photos that suffer from severe degradation thr...
Spatially-adaptive normalization is remarkably successful recently in
co...
Small intestinal capsule endoscopy is the mainstream method for inspecti...