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Found 10 papers, 2 papers with code
MELON: NeRF with Unposed Images in SO(3)
Neural radiance fields enable novel-view synthesis and scene reconstruction with photorealistic quality from a few images, but require known and accurate camera poses.
Kubric: A scalable dataset generator
Data is the driving force of machine learning, with the amount and quality of training data often being more important for the performance of a system than architecture and training details.
Specular-to-Diffuse Translation for Multi-View Reconstruction
To alleviate this restriction, we introduce S2Dnet, a generative adversarial network for transferring multiple views of objects with specular reflection into diffuse ones, so that multi-view reconstruction methods can be applied more effectively.
GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation
Recent research has demonstrated the ability to estimate gaze on mobile devices by performing inference on the image from the phone's front-facing camera, and without requiring specialized hardware.
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
It has been recently shown that neural networks can recover the geometric structure of a face from a single given image.
Learning Detailed Face Reconstruction from a Single Image
In contrast, we propose to leverage the power of convolutional neural networks to produce a highly detailed face reconstruction from a single image.
Randomized Independent Component Analysis
Independent component analysis (ICA) is a method for recovering statistically independent signals from observations of unknown linear combinations of the sources.
Customized Facial Constant Positive Air Pressure (CPAP) Masks
The incompatibility is characterized by gaps between the mask and the face, which deteriorates the impermeability of the mask and leads to air leakage.
Consistent Discretization and Minimization of the L1 Norm on Manifolds
The L1 norm has been tremendously popular in signal and image processing in the past two decades due to its sparsity-promoting properties.
3D Face Reconstruction by Learning from Synthetic Data
Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications.
