While current face animation methods can manipulate expressions individu...
While large-scale pre-trained text-to-image models can synthesize divers...
Diffusion models are able to generate photorealistic images in arbitrary...
Recently 3D-aware GAN methods with neural radiance field have developed
...
Motivation: This study aims to develop a novel model called DNA Pretrain...
The StyleGAN family succeed in high-fidelity image generation and allow ...
The High-Resolution Transformer (HRFormer) can maintain high-resolution
...
Image-based head swapping task aims to stitch a source head to another s...
The US leadership in science and technology has greatly benefitted from
...
In this paper, we study the problem of one-shot skeleton-based action
re...
We tackle the novel class discovery problem, aiming to discover novel cl...
Convolutional neural networks (CNNs) are good at extracting contexture
f...
Generating a new font library is a very labor-intensive and time-consumi...
This paper presents a novel Region-Aware Face Swapping (RAFSwap) network...
Training a text-to-image generator in the general domain (e.g., Dall.e,
...
Weakly supervised nuclei segmentation is a critical problem for patholog...
Our task is to remove all facial parts (e.g., eyebrows, eyes, mouth and
...
Great diversity and photorealism have been achieved by unconditional GAN...
Reconstructing 3D object from a single image (RGB or depth) is a fundame...
Weakly supervised segmentation is an important problem in medical image
...
While propagation-based approaches have achieved state-of-the-art perfor...
Douyin, internationally known as TikTok, has become one of the most
succ...
Deep learning has demonstrated superb efficacy in processing imaging dat...