Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Choi, Changwoon"'
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 from motion blur and varying appearances, which degrade the final quali
Externí odkaz:
http://arxiv.org/abs/2407.11347
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 representations. Moreover, sketches are not consistent for arbitrary vi
Externí odkaz:
http://arxiv.org/abs/2402.03690
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, which is robust to illumination changes and can potentially enable effici
Externí odkaz:
http://arxiv.org/abs/2308.13989
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 efficiently build neural radiance fields which enable high-quality rendering fr
Externí odkaz:
http://arxiv.org/abs/2303.12408
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 radiance of the implicit volume into intrinsic components such that one can
Externí odkaz:
http://arxiv.org/abs/2210.08202
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, our approach deviates from conventional feature point matching, and fo
Externí odkaz:
http://arxiv.org/abs/2207.05317
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 missing data cluttered with unsegmented objects. The problem of shape
Externí odkaz:
http://arxiv.org/abs/2204.01264
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 the camera pose at which the panorama image is taken. Our pipeline wor
Externí odkaz:
http://arxiv.org/abs/2108.06545
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 process as sampling from the transition kernel of a Markov chain, where th
Externí odkaz:
http://arxiv.org/abs/2103.04130
Autor:
Choi, Changwoon1 (AUTHOR), Kim, Juhyeon1,2 (AUTHOR), Kim, Young Min1 (AUTHOR) youngmin.kim@snu.ac.kr
Publikováno v:
Computer Graphics Forum. Oct2023, Vol. 42 Issue 7, p1-11. 11p. 8 Color Photographs, 3 Diagrams, 3 Charts, 1 Graph.
