no code implementations • CVPR 2023 • Wenqi Xian, Aljaž Božič, Noah Snavely, Christoph Lassner
Recent methods for 3D reconstruction and rendering increasingly benefit from end-to-end optimization of the entire image formation process.
no code implementations • 3 Nov 2022 • Zeqi Gu, Wenqi Xian, Noah Snavely, Abe Davis
Based on this observation, we present a method for solving the factor matting problem that produces useful decompositions even for video with complex cross-layer interactions like splashes, shadows, and reflections.
1 code implementation • CVPR 2021 • Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge Belongie
In applications such as optical see-through and projector augmented reality, producing images amounts to solving non-negative image generation, where one can only add light to an existing image.
no code implementations • CVPR 2021 • Wenqi Xian, Jia-Bin Huang, Johannes Kopf, Changil Kim
We present a method that learns a spatiotemporal neural irradiance field for dynamic scenes from a single video.
1 code implementation • ECCV 2020 • Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely
These photos represent a sparse and unstructured sampling of the plenoptic function for a particular scene.
no code implementations • ICCV 2019 • Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely
We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene.
3 code implementations • CVPR 2020 • Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
2 code implementations • CVPR 2018 • Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays
In this paper, we investigate deep image synthesis guided by sketch, color, and texture.
Ranked #2 on Image Reconstruction on Edge-to-Shoes