Search Results for author: Kyungmin Jo

Found 5 papers, 1 papers with code

SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis

no code implementations19 Sep 2023 Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho

In this paper, we propose SideGAN, a novel 3D GAN training method to generate photo-realistic images irrespective of the camera pose, especially for faces of side-view angles.

Image Generation

Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays

1 code implementation9 Mar 2023 Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi

X-ray computed tomography (CT) is one of the most common imaging techniques used to diagnose various diseases in the medical field.

Computed Tomography (CT)

3D-Aware Generative Model for Improved Side-View Image Synthesis

no code implementations ICCV 2023 Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho

In this paper, we propose SideGAN, a novel 3D GAN training method to generate photo-realistic images irrespective of the camera pose, especially for faces of side-view angles.

Image Generation

CG-NeRF: Conditional Generative Neural Radiance Fields

no code implementations7 Dec 2021 Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo

While recent NeRF-based generative models achieve the generation of diverse 3D-aware images, these approaches have limitations when generating images that contain user-specified characteristics.

3D-Aware Image Synthesis Face Generation

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