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Found 8 papers, 4 papers with code
Neural Lens Modeling
Recent methods for 3D reconstruction and rendering increasingly benefit from end-to-end optimization of the entire image formation process.
FactorMatte: Redefining Video Matting for Re-Composition Tasks
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.
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
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.
Space-time Neural Irradiance Fields for Free-Viewpoint Video
We present a method that learns a spatiotemporal neural irradiance field for dynamic scenes from a single video.
Crowdsampling the Plenoptic Function
These photos represent a sparse and unstructured sampling of the plenoptic function for a particular scene.
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene.
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
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.
Ranked #5 on
Multiple Object Tracking
on BDD100K test
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
In this paper, we investigate deep image synthesis guided by sketch, color, and texture.
Ranked #2 on
Image Reconstruction
on Edge-to-Shoes
