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pro vyhledávání: '"Jeong, Gi"'
Recently, deep learning-based facial landmark detection for in-the-wild faces has achieved significant improvement. However, there are still challenges in face landmark detection in other domains (e.g. cartoon, caricature, etc). This is due to the sc
Externí odkaz:
http://arxiv.org/abs/2401.13191
Generating novel views of an object from a single image is a challenging task. It requires an understanding of the underlying 3D structure of the object from an image and rendering high-quality, spatially consistent new views. While recent methods fo
Externí odkaz:
http://arxiv.org/abs/2312.01305
Image inpainting is an old problem in computer vision that restores occluded regions and completes damaged images. In the case of facial image inpainting, most of the methods generate only one result for each masked image, even though there are other
Externí odkaz:
http://arxiv.org/abs/2301.08443
Although manipulating facial attributes by Generative Adversarial Networks (GANs) has been remarkably successful recently, there are still some challenges in explicit control of features such as pose, expression, lighting, etc. Recent methods achieve
Externí odkaz:
http://arxiv.org/abs/2209.12050
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis
Over the years, 2D GANs have achieved great successes in photorealistic portrait generation. However, they lack 3D understanding in the generation process, thus they suffer from multi-view inconsistency problem. To alleviate the issue, many 3D-aware
Externí odkaz:
http://arxiv.org/abs/2207.10257
Recently, synthesizing personalized characters from a single user-given portrait has received remarkable attention as a drastic popularization of social media and the metaverse. The input image is not always in frontal view, thus it is important to a
Externí odkaz:
http://arxiv.org/abs/2205.02974
Unseen noise signal which is not considered in a model training process is difficult to anticipate and would lead to performance degradation. Various methods have been investigated to mitigate unseen noise. In our previous work, an Instance-level Dyn
Externí odkaz:
http://arxiv.org/abs/2205.01304
Autor:
Jeong-Gi Kwak, Hanseok Ko
Publikováno v:
IEEE Access, Vol 12, Pp 15675-15683 (2024)
We present an efficient approach for monocular 4D facial avatar reconstruction using a dynamic neural radiance field (NeRF). Over the years, NeRFs have been popular methods for 3D scene representation, but lack computational efficiency and controllab
Externí odkaz:
https://doaj.org/article/99420d863c17409b81463f156530fc77
Adverse weather image translation belongs to the unsupervised image-to-image (I2I) translation task which aims to transfer adverse condition domain (eg, rainy night) to standard domain (eg, day). It is a challenging task because images from adverse d
Externí odkaz:
http://arxiv.org/abs/2112.04283