no code implementations • 3 Jun 2024 • Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson
First, we generate a single-view RGB image conditioned on the input coarse geometry and the input text prompt.
no code implementations • 26 May 2022 • Selena Ling, Nicholas Sharp, Alec Jacobson
We demonstrate this approach on problems in machine learning and traditional geometric optimization, showing that equivariant VectorAdam resolves the artifacts and biases of traditional Adam when applied to vector-valued data, with equivalent or even improved rates of convergence.
no code implementations • 10 Dec 2021 • Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie
We then discuss different strategies for solving the problem, and design two representative pipelines: one uses available 2D floor plans to guide selection and deformation of 3D rooms; the other learns to retrieve a set of compatible 3D rooms and combine them into novel layouts.
1 code implementation • ECCV 2020 • Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin
Our approach is to simultaneously learn depth and disocclusions via a multi-sphere image representation, which can be rendered with correct 6DoF disparity and motion parallax in VR.