Search Results for author:
Found 14 papers, 2 papers with code
GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling
Furthermore, we demonstrate that our decoupling enables improved novel view synthesis performance compared to 2D Gaussian splatting when reducing the number of Gaussian primitives, and that GStex can be used for scene appearance editing and re-texturing.
Coherent Optical Modems for Full-Wavefield Lidar
Here, we repurpose off-the-shelf coherent optical modems to introduce full-wavefield lidar: a type of random modulation continuous wave lidar that simultaneously measures depth, axial velocity, and polarization.
Flying with Photons: Rendering Novel Views of Propagating Light
Combined with this dataset, we introduce an efficient neural volume rendering framework based on the transient field.
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
We show how to turn a noisy and fragile active triangulation technique--three-pattern structured light with a grayscale camera--into a fast and powerful tool for 3D capture: able to output sub-pixel accurate disparities at megapixel resolution along with reflectance normals and a no-reference estimate of its own pixelwise 3D error.
Learning Lens Blur Fields
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
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.
Passive Ultra-Wideband Single-Photon Imaging
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
We present a novel Relightable Neural Renderer (RNR) for simultaneous view synthesis and relighting using multi-view image inputs.
Coded Two-Bucket Cameras for Computer Vision
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.
Optimal Structured Light à La Carte
We consider the problem of automatically generating sequences of structured-light patterns for active stereo triangulation of a static scene.
Depth From Defocus in the Wild
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
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
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.
