Recent studies have shown that CLIP has achieved remarkable success in
p...
Copy-Paste is a simple and effective data augmentation strategy for inst...
Language-guided image editing has achieved great success recently. In th...
In contrast to the traditional avatar creation pipeline which is a costl...
This paper presents a simple yet effective framework MaskCLIP, which
inc...
We propose bootstrapped masked autoencoders (BootMAE), a new approach fo...
Vector quantized diffusion (VQ-Diffusion) is a powerful generative model...
This paper aims to address the problem of pre-training for person
re-ide...
Recent image-to-image translation works have been transferred from super...
In this work we propose Identity Consistency Transformer, a novel face
f...
Despite the tantalizing success in a broad of vision tasks, transformers...
How to learn a universal facial representation that boosts all face anal...
We present the vector quantized diffusion (VQ-Diffusion) model for
text-...
This paper explores a better codebook for BERT pre-training of vision
tr...
Although current face manipulation techniques achieve impressive perform...
Domain adaptation for semantic segmentation enables to alleviate the nee...
Recent semi-supervised learning (SSL) methods are commonly based on pseu...
Cycle consistency is widely used for face editing. However, we observe t...
In this paper, we proposed a novel Style-based Point Generator with
Adve...
Self-training is a competitive approach in domain adaptive segmentation,...
DeepFake detection has so far been dominated by “artifact-driven” method...
We present the full-resolution correspondence learning for cross-domain
...
We propose to restore old photos that suffer from severe degradation thr...
Generative adversarial networks (GANs) have achieved rapid progress in
l...
We propose to restore old photos that suffer from severe degradation thr...
We present a general framework for exemplar-based image translation, whi...
Generative adversarial networks (GANs) have achieved impressive results
...
In this paper we propose a novel image representation called face X-ray ...
In this work, we propose a novel two-stage framework, called FaceShifter...
Face parsing computes pixel-wise label maps for different semantic compo...
Portrait editing is a popular subject in photo manipulation. The Generat...
We propose a framework based on Generative Adversarial Networks to
disen...
We present variational generative adversarial networks, a general learni...
This paper presents a Neural Aggregation Network (NAN) for video face
re...