Neural implicit fields are powerful for representing 3D scenes and gener...
As a powerful representation of 3D scenes, the neural radiance field (Ne...
We propose an approach to simulate and render realistic water animation ...
Establishing dense correspondence between two images is a fundamental
co...
We present CLIP-NeRF, a multi-modal 3D object manipulation method for ne...
Disentangling data into interpretable and independent factors is critica...
Exemplar-based portrait stylization is widely attractive and highly desi...
Face image manipulation via three-dimensional guidance has been widely
a...
Spatially-adaptive normalization (SPADE) is remarkably successful recent...
The creation of high-fidelity computer-generated (CG) characters used in...
We present a deep learning-based framework for portrait reenactment from...
Spatially-adaptive normalization is remarkably successful recently in
co...
This paper presents the first end-to-end network for exemplar-based vide...
Image dehazing aims to recover the uncorrupted content from a hazy image...
We propose the first deep learning approach for exemplar-based local
col...
We propose a new algorithm for color transfer between images that have
p...