Illumination estimation from a single image
KK Sunkavalli, S **aohui, ME Yumer… - US Patent …, 2020 - Google Patents
Methods and systems are provided for using a single image of an indoor scene to estimate
illumination of an environ ment that includes the portion captured in the image. A neural …
illumination of an environ ment that includes the portion captured in the image. A neural …
Learning to estimate high-dynamic range outdoor lighting parameters
Methods and systems are provided for determining high dynamic range lighting parameters
for input low-dynamic range images. A neural network system can be trained to estimate …
for input low-dynamic range images. A neural network system can be trained to estimate …
Low-light imaging using trained convolutional neural networks
An example apparatus for imaging in low-light environments includes a raw sensor data
receiver to receive raw sensor data from an imaging sensor. The apparatus also includes a …
receiver to receive raw sensor data from an imaging sensor. The apparatus also includes a …
Dynamically estimating lighting parameters for positions within augmented-reality scenes based on global and local features
This disclosure relates to methods, non-transitory computer readable media, and systems
that use a local-lighting-estimation-neural network to render a virtual object in a digital scene …
that use a local-lighting-estimation-neural network to render a virtual object in a digital scene …
Photorealistic image simulation with geometry-aware composition
The present disclosure provides systems and methods for generating photorealistic image
simulation data with geom etry-aware composition for testing autonomous vehicles. In …
simulation data with geom etry-aware composition for testing autonomous vehicles. In …
Neural network-based camera calibration
Embodiments of the present invention provide systems, methods, and computer storage
media directed to generating training image data for a convolutional neural network …
media directed to generating training image data for a convolutional neural network …
Learning from estimated high-dynamic range all weather lighting parameters
Methods and systems are provided for determining high dynamic range lighting parameters
for input low-dynamic range images. A neural network system can be trained to estimate …
for input low-dynamic range images. A neural network system can be trained to estimate …
Neural light transport
Examples relate to implementations of a neural light transport. A computing system may
obtain data indicative of a plurality of UV texture maps and a geometry of an object. Each UV …
obtain data indicative of a plurality of UV texture maps and a geometry of an object. Each UV …
Learning illumination from diverse portraits
Appl. No.: 17/309,171 (22) PCT Filed: Sep. 21, 2020 PCT/US2020/070558 (86) PCT No.: §
371 (c)(1),(2) Date: May 3, 2021 Techniques of estimating lighting from portraits includes …
371 (c)(1),(2) Date: May 3, 2021 Techniques of estimating lighting from portraits includes …
Photo relighting using deep neural networks and confidence learning
Apparatus and methods related to applying lighting models to images of objects are
provided. A neural network can be trained to apply a lighting model to an input image. The …
provided. A neural network can be trained to apply a lighting model to an input image. The …