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Found 15 papers, 3 papers with code
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication
Extensive experiments demonstrate that by leveraging V2V communication, the SSC performance can be increased by 8. 3% on geometric metric IoU and 6. 0% mIOU.
Relightable Gaussian Codec Avatars
The fidelity of relighting is bounded by both geometry and appearance representations.
WildLight: In-the-wild Inverse Rendering with a Flashlight
Our system recovers scene geometry and reflectance using only multi-view images captured by a smartphone.
MEGANE: Morphable Eyeglass and Avatar Network
However, modeling the geometric and appearance interactions of glasses and the face of virtual representations of humans is challenging.
Self-calibrating Photometric Stereo by Neural Inverse Rendering
This paper tackles the task of uncalibrated photometric stereo for 3D object reconstruction, where both the object shape, object reflectance, and lighting directions are unknown.
Neural Reflectance for Shape Recovery with Shadow Handling
This network is able to leverage the observed photometric variance and shadows on the surface, and recover both surface shape and general non-Lambertian reflectance.
Neural Plenoptic Sampling: Capture Light-field from Imaginary Eyes
It encodes a complete light-field (\ie, lumigraph) therefore allows one to freely roam in the space and view the scene from any location in any direction.
Neural Photometric Stereo for Shape and Material Estimation
This paper addresses a challenging Photometric-Stereo problem where the object to be reconstructed has unknown, non-Lambertian, and possibly spatially-varying surface materials.
Lighting, Reflectance and Geometry Estimation From 360deg Panoramic Stereo
We propose a method for estimating high-definition spatially-varying lighting, reflectance, and geometry of a scene from 360deg stereo images.
Lighting, Reflectance and Geometry Estimation from 360$^{\circ}$ Panoramic Stereo
We propose a method for estimating high-definition spatially-varying lighting, reflectance, and geometry of a scene from 360$^{\circ}$ stereo images.
Learning to Minify Photometric Stereo
Photometric stereo estimates the surface normal given a set of images acquired under different illumination conditions.
Predictive Modeling with Delayed Information: a Case Study in E-commerce Transaction Fraud Control
Using partially mature data directly for predictive modeling in an uncertain probabilistic decision environment would lead to significant inaccuracy on risk decision-making.
Discriminative Data-driven Self-adaptive Fraud Control Decision System with Incomplete Information
While E-commerce has been growing explosively and online shopping has become popular and even dominant in the present era, online transaction fraud control has drawn considerable attention in business practice and academic research.
A Frequency Domain Neural Network for Fast Image Super-resolution
Moreover, the non-linearity in deep nets, often achieved by a rectifier unit, is here cast as a convolution in the frequency domain.
Secrets in Computing Optical Flow by Convolutional Networks
Convolutional neural networks (CNNs) have been widely used over many areas in compute vision.
