Search Results for author: Wenqi Xian

Found 8 papers, 4 papers with code

Neural Lens Modeling

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.

3D Reconstruction Camera Calibration

FactorMatte: Redefining Video Matting for Re-Composition Tasks

no code implementations3 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.

Image Matting Video Matting

Stay Positive: Non-Negative Image Synthesis for Augmented Reality

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.

Image-to-Image Translation Style Transfer

Space-time Neural Irradiance Fields for Free-Viewpoint Video

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.

Depth Estimation

Crowdsampling the Plenoptic Function

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.

Neural Rendering Novel View Synthesis

UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images

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.

Camera Calibration

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

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.

Autonomous Driving Domain Adaptation +7

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