Search Results for author:
Found 8 papers, 4 papers with code
GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering
In this paper, we present GaNI, a Global and Near-field Illumination-aware neural inverse rendering technique that can reconstruct geometry, albedo, and roughness parameters from images of a scene captured with co-located light and camera.
My3DGen: A Scalable Personalized 3D Generative Model
Another challenge of personalization is the limited number of training images available for each individual, which often leads to overfitting when using full fine-tuning methods.
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation
We then finetune different algorithms on our MAW dataset to significantly improve the quality of the reconstructed albedo both quantitatively and qualitatively.
Shape and Material Capture at Home
In this paper, we present a technique for estimating the geometry and reflectance of objects using only a camera, flashlight, and optionally a tripod.
Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path
This paper proposes a new approach for automated floorplan reconstruction from RGBD scans, a major milestone in indoor mapping research.
Neural Procedural Reconstruction for Residential Buildings
This paper proposes a novel 3D reconstruction approach, dubbed Neural Procedural Reconstruction (NPR), which trains deep neural networks to procedurally apply shape grammar rules and reconstruct CAD-quality models from 3D points.
A NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First Principle
By abiding by the work-first principle, we are able to obtain a platform that is work efficient, provides the same theoretical guarantees as the classic work stealing scheduler, and mitigates work inflation.
Distributed, Parallel, and Cluster Computing Performance
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans
The ultimate goal of this indoor mapping research is to automatically reconstruct a floorplan simply by walking through a house with a smartphone in a pocket.
