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Flying with Photons: Rendering Novel Views of Propagating Light

About

We present an imaging and neural rendering technique that seeks to synthesize videos of light propagating through a scene from novel, moving camera viewpoints. Our approach relies on a new ultrafast imaging setup to capture a first-of-its kind, multi-viewpoint video dataset with picosecond-level temporal resolution. Combined with this dataset, we introduce an efficient neural volume rendering framework based on the transient field. This field is defined as a mapping from a 3D point and 2D direction to a high-dimensional, discrete-time signal that represents time-varying radiance at ultrafast timescales. Rendering with transient fields naturally accounts for effects due to the finite speed of light, including viewpoint-dependent appearance changes caused by light propagation delays to the camera. We render a range of complex effects, including scattering, specular reflection, refraction, and diffraction. Additionally, we demonstrate removing viewpoint-dependent propagation delays using a time warping procedure, rendering of relativistic effects, and video synthesis of direct and global components of light transport.

Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell• 2024

Related benchmarks

TaskDatasetResultRank
View synthesis of integrated (steady-state) lidar imagesCaptured real
PSNR (dB)29
7
Geometry RecoveryCaptured multi-viewpoint dataset
MAE22.8
4
View synthesis of time-resolved lidar measurementsCaptured real
T-IoU55
3
Geometry ReconstructionSimulated (sim)
MAE22.8
3
View synthesis of integrated (steady-state) lidar imagesSimulated
PSNR (dB)29
3
View synthesis of time-resolved lidar measurementsSimulated
T-IOU73
3
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