Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed
m...
Neural Radiance Field (NeRF) has shown impressive performance in novel v...
Open-vocabulary segmentation of 3D scenes is a fundamental function of h...
The recent advance of neural fields, such as neural radiance fields, has...
Audio-driven talking face generation, which aims to synthesize talking f...
Facial expression editing has attracted increasing attention with the ad...
Face swapping aims to generate swapped images that fuse the identity of
...
Generative Adversarial Networks (GANs) rely heavily on large-scale train...
3D style transfer aims to render stylized novel views of a 3D scene with...
Quantizing images into discrete representations has been a fundamental
p...
Recently, single image super-resolution (SR) under large scaling factors...
Deep generative models have achieved conspicuous progress in realistic i...
Leveraging StyleGAN's expressivity and its disentangled latent codes,
ex...
Neural Radiance Fields (NeRF) have demonstrated very impressive performa...
Exemplar-based image translation establishes dense correspondences betwe...
State-of-the-art document dewarping techniques learn to predict 3-dimens...
Perceiving the similarity between images has been a long-standing and
fu...
As information exists in various modalities in real world, effective
int...
Training effective Generative Adversarial Networks (GANs) requires large...
Image inpainting aims to complete the missing or corrupted regions of im...
Graph convolutional networks have significantly improved 3D human pose
e...
Transfer learning from synthetic to real data has been proved an effecti...
Generative Adversarial Networks (GANs) have become the de-facto standard...
Generative adversarial networks (GANs) have achieved great success in im...
Image super-resolution (SR) research has witnessed impressive progress t...
Accurate lighting estimation is challenging yet critical to many compute...
Despite the great success of GANs in images translation with different
c...
Image inpainting is an underdetermined inverse problem, it naturally all...
The 3D pose estimation from a single image is a challenging problem due ...
Lighting estimation from a single image is an essential yet challenging ...
Illumination estimation from a single image is critical in 3D rendering ...
Dealing with the inconsistency between a foreground object and a backgro...
Recent advances in generative adversarial networks (GANs) have achieved ...
The recent person re-identification research has achieved great success ...
Recent adversarial learning research has achieved very impressive progre...
Despite the rapid progress of generative adversarial networks (GANs) in ...
A large amount of annotated training images is critical for training acc...
Recent advances in generative adversarial networks (GANs) have shown gre...
Automated recognition of texts in scenes has been a research challenge f...
This paper presents a scene text detection technique that exploits
boots...
The requirement of large amounts of annotated images has become one gran...