10 citations · 13 across the 12 of their papers we have counts for
15 papers
Scene Retargeting: Learning Object Placement with Analogical Transfer
Minkwan Kim, Junho Kim, Seungmin Lee +2
Interactive simulations of embodied AI or spatial computing applications build on realistic 3D scenes that support daily activities. However, sparse, irregular layout structures im…
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…
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…
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…
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…
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…
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…
3Doodle: Compact Abstraction of Objects with 3D Strokes
Changwoon Choi, Jaeah Lee, Jaesik Park +1
While free-hand sketching has long served as an efficient representation to convey characteristics of an object, they are often subjective, deviating significantly from realistic r…
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…
Balanced Spherical Grid for Egocentric View Synthesis
Changwoon Choi, Sang Min Kim, Young Min Kim
We present EgoNeRF, a practical solution to reconstruct large-scale real-world environments for VR assets. Given a few seconds of casually captured 360 video, EgoNeRF can efficient…
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields
Changwoon Choi, Juhyeon Kim, Young Min Kim
We propose IBL-NeRF, which decomposes the neural radiance fields (NeRF) of large-scale indoor scenes into intrinsic components. Recent approaches further decompose the baked radian…
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,…
Probabilistic Implicit Scene Completion
Dongsu Zhang, Changwoon Choi, Inbum Park +1
We propose a probabilistic shape completion method extended to the continuous geometry of large-scale 3D scenes. Real-world scans of 3D scenes suffer from a considerable amount of…
PICCOLO: Point Cloud-Centric Omnidirectional Localization
Junho Kim, Changwoon Choi, Hojun Jang +1
We present PICCOLO, a simple and efficient algorithm for omnidirectional localization. Given a colored point cloud and a 360 panorama image of a scene, our objective is to recover…
Learning to Generate 3D Shapes with Generative Cellular Automata
Dongsu Zhang, Changwoon Choi, Jeonghwan Kim +1
We present a probabilistic 3D generative model, named Generative Cellular Automata, which is able to produce diverse and high quality shapes. We formulate the shape generation proc…