Search Results for author: Jaehoon Ko

Found 3 papers, 2 papers with code

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

1 code implementation14 Mar 2023 Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim

Text-to-3D generation has shown rapid progress in recent days with the advent of score distillation, a methodology of using pretrained text-to-2D diffusion models to optimize neural radiance field (NeRF) in the zero-shot setting.

Single-View 3D Reconstruction Text to 3D

3D GAN Inversion with Pose Optimization

1 code implementation13 Oct 2022 Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim

With the recent advances in NeRF-based 3D aware GANs quality, projecting an image into the latent space of these 3D-aware GANs has a natural advantage over 2D GAN inversion: not only does it allow multi-view consistent editing of the projected image, but it also enables 3D reconstruction and novel view synthesis when given only a single image.

3D Reconstruction Image Reconstruction +1

AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation

no code implementations28 Apr 2022 Mira Kim, Jaehoon Ko, Kyusun Cho, Junmyeong Choi, Daewon Choi, Seungryong Kim

We propose a novel framework for 3D-aware object manipulation, called Auto-Encoding Neural Radiance Fields (AE-NeRF).


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