Search Results for author: Kiriakos N. Kutulakos

Found 11 papers, 1 papers with code

Flying with Photons: Rendering Novel Views of Propagating Light

no code implementations9 Apr 2024 Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell

Combined with this dataset, we introduce an efficient neural volume rendering framework based on the transient field.

Neural Rendering

Learning Lens Blur Fields

no code implementations17 Oct 2023 Esther Y. H. Lin, Zhecheng Wang, Rebecca Lin, Daniel Miau, Florian Kainz, Jiawen Chen, Xuaner Cecilia Zhang, David B. Lindell, Kiriakos N. Kutulakos

Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements.

Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction

no code implementations NeurIPS 2023 Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kiriakos N. Kutulakos, David B. Lindell

Here, we propose a novel method for rendering transient NeRFs that take as input the raw, time-resolved photon count histograms measured by a single-photon lidar system, and we seek to render such histograms from novel views.

3D Reconstruction Autonomous Driving

Passive Ultra-Wideband Single-Photon Imaging

no code implementations ICCV 2023 Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos

We consider the problem of imaging a dynamic scene over an extreme range of timescales simultaneously--seconds to picoseconds--and doing so passively, without much light, and without any timing signals from the light source(s) emitting it.

A Neural Rendering Framework for Free-Viewpoint Relighting

2 code implementations CVPR 2020 Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu

We present a novel Relightable Neural Renderer (RNR) for simultaneous view synthesis and relighting using multi-view image inputs.

Neural Rendering Novel View Synthesis

Coded Two-Bucket Cameras for Computer Vision

no code implementations ECCV 2018 Mian Wei, Navid Sarhangnejad, Zhengfan Xia, Nikita Gusev, Nikola Katic, Roman Genov, Kiriakos N. Kutulakos

We introduce coded two-bucket (C2B) imaging, a new operating principle for computational sensors with applications in active 3D shape estimation and coded-exposure imaging.

Vocal Bursts Valence Prediction

Optimal Structured Light à La Carte

no code implementations CVPR 2018 Parsa Mirdehghan, Wenzheng Chen, Kiriakos N. Kutulakos

We consider the problem of automatically generating sequences of structured-light patterns for active stereo triangulation of a static scene.

Disparity Estimation

Depth From Defocus in the Wild

no code implementations CVPR 2017 Huixuan Tang, Scott Cohen, Brian Price, Stephen Schiller, Kiriakos N. Kutulakos

We consider the problem of two-frame depth from defocus in conditions unsuitable for existing methods yet typical of everyday photography: a handheld cellphone camera, a small aperture, a non-stationary scene and sparse surface texture.

The Geometry of First-Returning Photons for Non-Line-Of-Sight Imaging

no code implementations CVPR 2017 Chia-Yin Tsai, Kiriakos N. Kutulakos, Srinivasa G. Narasimhan, Aswin C. Sankaranarayanan

In this paper, we propose a new approach for NLOS imaging by studying the properties of first-returning photons from three-bounce light paths.

3D Shape and Indirect Appearance by Structured Light Transport

no code implementations CVPR 2014 Matthew O'Toole, John Mather, Kiriakos N. Kutulakos

We consider the problem of deliberately manipulating the direct and indirect light flowing through a time-varying, fully-general scene in order to simplify its visual analysis.

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