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20212026
most citedProbabilistic Implicit Scene Completion

2 citations · 3 across the 8 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Image-Guided Geometric Stylization of 3D Meshes

Changwoon Choi, Hyunsoo Lee, Clément Jambon +2

Recent generative models can create visually plausible 3D representations of objects. However, the generation process often allows for implicit control signals, such as contextual…

cs.CV2025

Geometry-Aware Scene Configurations for Novel View Synthesis

Minkwan Kim, Changwoon Choi, Young Min Kim

We propose scene-adaptive strategies to efficiently allocate representation capacity for generating immersive experiences of indoor environments from incomplete observations. Indoo…

cs.CV2025

Recovering Dynamic 3D Sketches from Videos

Jaeah Lee, Changwoon Choi, Young Min Kim +1

Understanding 3D motion from videos presents inherent challenges due to the diverse types of movement, ranging from rigid and deformable objects to articulated structures. To overc…

cs.CV2024

Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos

Changwoon Choi, Jeongjun Kim, Geonho Cha +3

Recent works on dynamic 3D neural field reconstruction assume the input from synchronized multi-view videos whose poses are known. The input constraints are often not satisfied in…

cs.CV2024

ExCellGen: Fast, Controllable, Photorealistic 3D Scene Generation from a Single Real-World Exemplar

Clément Jambon, Changwoon Choi, Dongsu Zhang +2

Photorealistic 3D scene generation is challenging due to the scarcity of large-scale, high-quality real-world 3D datasets and complex workflows requiring specialized expertise for…

cs.CV2024

I-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM

Gwangtak Bae, Changwoon Choi, Hyeongjun Heo +2

We present an inverse image-formation module that can enhance the robustness of existing visual SLAM pipelines for casually captured scenarios. Casual video captures often suffer f…