Config: Controllable neural face image generation

M Kowalski, SJ Garbin, V Estellers… - Computer Vision–ECCV …, 2020 - Springer
Our ability to sample realistic natural images, particularly faces, has advanced by leaps and
bounds in recent years, yet our ability to exert fine-tuned control over the generative process …

Gan-based facial attribute manipulation

Y Liu, Q Li, Q Deng, Z Sun… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Facial Attribute Manipulation (FAM) aims to aesthetically modify a given face image to
render desired attributes, which has received significant attention due to its broad practical …

Synthetic data for multi-parameter camera-based physiological sensing

D McDuff, X Liu, J Hernandez, E Wood… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Synthetic data is a powerful tool in training data hungry deep learning algorithms. However,
to date, camera-based physiological sensing has not taken full advantage of these …

High resolution zero-shot domain adaptation of synthetically rendered face images

SJ Garbin, M Kowalski, M Johnson… - Computer Vision–ECCV …, 2020 - Springer
Generating photorealistic images of human faces at scale remains a prohibitively difficult
task using computer graphics approaches. This is because these require the simulation of …

[HTML][HTML] Synthnet: A skip connected depthwise separable neural network for novel view synthesis of solid objects

V Anupama, AG Kiran - Results in Engineering, 2022 - Elsevier
The process of synthesizing an image with objects in new pose angles other than input pose
is known as Novel View Synthesis. Humans can visualize the objects in new poses by …

[書籍][B] Achieving Order with Two-Photon Lithography: Colloidal Self-Assembly and Direct Laser Writing

D Doan - 2023 - search.proquest.com
Structural or spatial order at the nanometer/micron regime is an avenue to improve material
properties. The field of photonics and metamaterials have shown that size-effects at these …

[引用][C] Exploring Advanced Methodologies for the Generation of Synthetic Data

S Duignan - 2023