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From the 1 of 13 linked papers with an AI index.

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13 papers

cs.CV2026

TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization

Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo +2

TanGO is a training-free framework that edits 3D content from flow‑matching generative models by applying adaptive per‑token control in the tangent space of the model's dynamics, r…

cs.CV2026

InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image

Gwanhyeong Koo, Hyunsu Kim, Youngji Kim +5

Recent advances in single image-to-3D generation have enabled high-quality asset synthesis, yet extending these capabilities to indoor scene generation remains challenging. Existin…

cs.CV2026

GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting

Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo +1

Gaussian Splatting has achieved significant improvements by incorporating warping-based techniques. However, such methods suffer from pixel-level inaccuracies due to uncertain geom…

cs.CV2026

SPECSIA: Stylization Dataset for Novel-View Enhancement in Drawing-based 3D Animation

Kyuwon Kim, Sunjae Yoon, Chang D. Yoo

Generating animation from a single 2D drawing is challenging because the output must preserve character appearance while remaining plausible and temporally coherent under motion. E…

cs.GR2025

Occlusion-robust Stylization for Drawing-based 3D Animation

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee +2

3D animation aims to generate a 3D animated video from an input image and a target 3D motion sequence. Recent advances in image-to-3D models enable the creation of animations direc…

cs.GR2025

FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields

Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee +2

Drag-based editing allows precise object manipulation through point-based control, offering user convenience. However, current methods often suffer from a geometric inconsistency p…