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20222024
most citedFloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras

8 citations · 15 across the 5 of their papers we have counts for

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cs.CV2024

OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees

Hakyeong Kim, Andreas Meuleman, Hyeonjoong Jang +2

We present a method to reconstruct indoor and outdoor static scene geometry and appearance from an omnidirectional video moving in a small circular sweep. This setting is challengi…

cs.CV2024

OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos

Dongyoung Choi, Hyeonjoong Jang, Min H. Kim

Omnidirectional cameras are extensively used in various applications to provide a wide field of vision. However, they face a challenge in synthesizing novel views due to the inevit…

cs.CV20234 cited

Self-Calibrating, Fully Differentiable NLOS Inverse Rendering

Kiseok Choi, Inchul Kim, Dongyoung Choi +3

Existing time-resolved non-line-of-sight (NLOS) imaging methods reconstruct hidden scenes by inverting the optical paths of indirect illumination measured at visible relay surfaces…

cs.CV20233 cited

Progressively Optimized Local Radiance Fields for Robust View Synthesis

Andreas Meuleman, Yu-Lun Liu, Chen Gao +4

We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing…

cs.CV20228 cited

FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras

Andreas Meuleman, Hakyeong Kim, James Tompkin +1

High-accuracy per-pixel depth is vital for computational photography, so smartphones now have multimodal camera systems with time-of-flight (ToF) depth sensors and multiple color c…