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3D Human Shape and Pose from a Single Depth Image with Deep Dense Correspondence Enabled Model Fitting
(The Eurographics Association, 2022)
We propose a two-stage hybrid method, with no initialization, for 3D human shape and pose estimation from a single depth image, combining the benefits of deep learning and optimization. First, a convolutional neural network ...
Fast and Fine Disparity Reconstruction for Wide-baseline Camera Arrays with Deep Neural Networks
(The Eurographics Association, 2022)
Recently, disparity-based 3D reconstruction for stereo camera pairs and light field cameras have been greatly improved with the uprising of deep learning-based methods. However, only few of these approaches address ...
Neural Denoising for Spectral Monte Carlo Rendering
(The Eurographics Association, 2022)
Spectral Monte Carlo (MC) rendering is still to be largely adopted partially due to the specific noise, called color noise, induced by wavelength-dependent phenomenons. Motivated by the recent advances in Monte Carlo noise ...