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Found 11 papers, 3 papers with code
Jointly Optimizing Color Rendition and In-Camera Backgrounds in an RGB Virtual Production Stage
While the LED panels used in virtual production systems can display vibrant imagery with a wide color gamut, they produce problematic color shifts when used as lighting due to their peaky spectral output from narrow-band red, green, and blue LEDs.
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
This enables the rendering of novel views of the object under arbitrary environment lighting and editing of the object's material properties.
Ranked #4 on
Image Relighting
on Stanford-ORB
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars
We estimate the lighting environment of the input video footage and use the subject's reflectance field to create synthetic images of the subject illuminated by the input lighting environment.
Baking Neural Radiance Fields for Real-Time View Synthesis
Neural volumetric representations such as Neural Radiance Fields (NeRF) have emerged as a compelling technique for learning to represent 3D scenes from images with the goal of rendering photorealistic images of the scene from unobserved viewpoints.
Light Stage Super-Resolution: Continuous High-Frequency Relighting
The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces.
Neural Light Transport for Relighting and View Synthesis
In particular, we show how to fuse previously seen observations of illuminants and views to synthesize a new image of the same scene under a desired lighting condition from a chosen viewpoint.
Learning Illumination from Diverse Portraits
We present a learning-based technique for estimating high dynamic range (HDR), omnidirectional illumination from a single low dynamic range (LDR) portrait image captured under arbitrary indoor or outdoor lighting conditions.
DeepView: View Synthesis with Learned Gradient Descent
We present a novel approach to view synthesis using multiplane images (MPIs).
Single Image Portrait Relighting
Lighting plays a central role in conveying the essence and depth of the subject in a portrait photograph.
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
We present a learning-based method to infer plausible high dynamic range (HDR), omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a mobile phone camera with a limited field of view (FOV).
Mesoscopic Facial Geometry Inference Using Deep Neural Networks
We present a learning-based approach for synthesizing facial geometry at medium and fine scales from diffusely-lit facial texture maps.
