no code implementations • 22 Mar 2024 • Jiaye Wu, Saeed Hadadan, Geng Lin, Matthias Zwicker, David Jacobs, Roni Sengupta
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.
no code implementations • 11 Jul 2023 • Luchao Qi, Jiaye Wu, Annie N. Wang, Shengze Wang, Roni Sengupta
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.
no code implementations • 27 Jun 2023 • Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta
We then finetune different algorithms on our MAW dataset to significantly improve the quality of the reconstructed albedo both quantitatively and qualitatively.
1 code implementation • CVPR 2021 • Daniel Lichy, Jiaye Wu, Soumyadip Sengupta, David W. Jacobs
In this paper, we present a technique for estimating the geometry and reflectance of objects using only a camera, flashlight, and optionally a tripod.
1 code implementation • ICCV 2019 • Jiacheng Chen, Chen Liu, Jiaye Wu, Yasutaka Furukawa
This paper proposes a new approach for automated floorplan reconstruction from RGBD scans, a major milestone in indoor mapping research.
no code implementations • ECCV 2018 • Huayi Zeng, Jiaye Wu, Yasutaka Furukawa
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.
1 code implementation • 28 Jun 2018 • Justin Deters, Jiaye Wu, Yifan Xu, I-Ting Angelina Lee
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
2 code implementations • ECCV 2018 • Chen Liu, Jiaye Wu, Yasutaka Furukawa
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.