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

36 citations · 50 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CV2023

LDL: Line Distance Functions for Panoramic Localization

Junho Kim, Changwoon Choi, Hojun Jang +1

We introduce LDL, a fast and robust algorithm that localizes a panorama to a 3D map using line segments. LDL focuses on the sparse structural information of lines in the scene, whi…

cs.CV2023

Calibrating Panoramic Depth Estimation for Practical Localization and Mapping

Junho Kim, Eun Sun Lee, Young Min Kim

The absolute depth values of surrounding environments provide crucial cues for various assistive technologies, such as localization, navigation, and 3D structure estimation. We pro…

cs.LG2023

Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning

Byung-Kwan Lee, Junho Kim, Yong Man Ro

Adversarial examples derived from deliberately crafted perturbations on visual inputs can easily harm decision process of deep neural networks. To prevent potential threats, variou…

cs.CV2023★ 1 cited

User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques

Sunwoo Kim, Wooseok Jang, Hyunsu Kim +4

Recent text-driven image editing in diffusion models has shown remarkable success. However, the existing methods assume that the user's description sufficiently grounds the context…

cs.CV2023

Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization

Doyeon Kim, Eunji Ko, Hyunsu Kim +5

Portrait stylization, which translates a real human face image into an artistically stylized image, has attracted considerable interest and many prior works have shown impressive q…

cs.CV2023★ 7 cited

Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models

Jooyoung Choi, Yunjey Choi, Yunji Kim +2

Text-to-image diffusion models can generate diverse, high-fidelity images based on user-provided text prompts. Recent research has extended these models to support text-guided imag…

cs.CV2023

Panoramic Image-to-Image Translation

Soohyun Kim, Junho Kim, Taekyung Kim +4

In this paper, we tackle the challenging task of Panoramic Image-to-Image translation (Pano-I2I) for the first time. This task is difficult due to the geometric distortion of panor…

cs.LG2023

Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression

Junho Kim, Byung-Kwan Lee, Yong Man Ro

The origin of adversarial examples is still inexplicable in research fields, and it arouses arguments from various viewpoints, albeit comprehensive investigations. In this paper, w…

cs.CV2023★ 36 cited

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

Junyoung Seo, Wooseok Jang, Min-Seop Kwak +6

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 neura…

cs.CV2023

Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance

Yoonjeon Kim, Hyunsu Kim, Junho Kim +2

With the advantages of fast inference and human-friendly flexible manipulation, image-agnostic style manipulation via text guidance enables new applications that were not previousl…

cs.CV2022★ 4 cited

Privacy-Preserving Visual Localization with Event Cameras

Junho Kim, Young Min Kim, Ramzi Zahreddine +4

We consider the problem of client-server localization, where edge device users communicate visual data with the service provider for locating oneself against a pre-built 3D map. Th…

cs.CV2022★ 1 cited

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

Gyeongman Kim, Hajin Shim, Hyunsu Kim +3

Inspired by the impressive performance of recent face image editing methods, several studies have been naturally proposed to extend these methods to the face video editing task. On…

cs.RO2022

MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents

Eun Sun Lee, Junho Kim, SangWon Park +1

We propose a domain adaptation method, MoDA, which adapts a pretrained embodied agent to a new, noisy environment without ground-truth supervision. Map-based memory provides import…

cs.CV2022

CPO: Change Robust Panorama to Point Cloud Localization

Junho Kim, Hojun Jang, Changwoon Choi +1

We present CPO, a fast and robust algorithm that localizes a 2D panorama with respect to a 3D point cloud of a scene possibly containing changes. To robustly handle scene changes,…

cs.CV2022★ 1 cited

Ev-NeRF: Event Based Neural Radiance Field

Inwoo Hwang, Junho Kim, Young Min Kim

We present Ev-NeRF, a Neural Radiance Field derived from event data. While event cameras can measure subtle brightness changes in high frame rates, the measurements in low lighting…