activity
20222026
most citedElevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2026

SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control

Geonung Kim, Jeongeun Park, Nuri Ryu +2

Geometry-conditioned 3D scene generation enables the creation of 3D environments from user-provided geometry, offering direct control over scene structure and object layout. To gen…

cs.CV2026

Edge-Aware Image Manipulation via Diffusion Models with a Novel Structure-Preservation Loss

Minsu Gong, Nuri Ryu, Jungseul Ok +1

Recent advances in image editing leverage latent diffusion models (LDMs) for versatile, text-prompt-driven edits across diverse tasks. Yet, maintaining pixel-level edge structures-…

cs.GR2025★ 3 cited

Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model

Nuri Ryu, Jiyun Won, Jooeun Son +3

High-quality 3D assets are essential for various applications in computer graphics and 3D vision but remain scarce due to significant acquisition costs. To address this shortage, w…

cs.CV2023

360 Reconstruction From a Single Image Using Space Carved Outpainting

Nuri Ryu, Minsu Gong, Geonung Kim +2

We introduce POP3D, a novel framework that creates a full -view 3D model from a single image. POP3D resolves two prominent issues that limit the single-view reconstructi…

cs.CV2022

Dr.3D: Adapting 3D GANs to Artistic Drawings

Wonjoon Jin, Nuri Ryu, Geonung Kim +2

While 3D GANs have recently demonstrated the high-quality synthesis of multi-view consistent images and 3D shapes, they are mainly restricted to photo-realistic human portraits. Th…