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...
Audio-driven talking face generation, which aims to synthesize talking f...
Facial expression editing has attracted increasing attention with the ad...
Generative Adversarial Networks (GANs) rely heavily on large-scale train...
3D style transfer aims to render stylized novel views of a 3D scene with...
Multi-scale features have been proven highly effective for object detect...
Recently, single image super-resolution (SR) under large scaling factors...
The recently proposed DEtection TRansformer (DETR) has established a ful...
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...
Perceiving the similarity between images has been a long-standing and
fu...
The recently developed DEtection TRansformer (DETR) establishes a new ob...
As information exists in various modalities in real world, effective
int...
Image inpainting aims to complete the missing or corrupted regions of im...
Generative adversarial networks (GANs) have achieved great success in im...
Image super-resolution (SR) research has witnessed impressive progress t...
Despite the great success of GANs in images translation with different
c...
Image inpainting is an underdetermined inverse problem, it naturally all...
Lighting estimation from a single image is an essential yet challenging ...
Illumination estimation from a single image is critical in 3D rendering ...