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Adaptive Convolutions for Structure-Aware Style Transfer

Adaptive Convolutions for Structure-Aware Style Transfer

by Martina Megaro | Jun 19, 2021 | Capture, Digital Humans, Machine Learning

Adaptive Convolutions for Structure-Aware Style Transfer   We propose Adaptive convolutions; a generic extension of AdaIN, which allows for the simultaneous transfer of both statistical and structural styles in real time. June 19, 2021IEEE Conference on Computer...
Lossy Image Compression with Normalizing Flows

Lossy Image Compression with Normalizing Flows

by Martina Megaro | May 8, 2021 | Video Processing, Visual Computing

Lossy Image Compression with Normalizing Flows   We propose a deep image compression method that is similarly able to go from low bit-rates to near lossless quality, byleveraging normalizing flows to learn a bijective mapping from the image space toa latent...
Robust Image Denoising using Kernel Predicting Networks

Robust Image Denoising using Kernel Predicting Networks

by Martina Megaro | May 3, 2021 | Video Processing, Visual Computing

Robust Image Denoising using Kernel Predicting Networks   We present a new method for designing high quality denoisers that are robust to varying noise characteristics of input images. May 3, 2021Eurographics 2021   Authors Zhilin Cai (DisneyResearch|Studios/ETH...
Deep HDR estimation with generative detail reconstruction

Deep HDR estimation with generative detail reconstruction

by Martina Megaro | May 3, 2021 | Video Processing, Visual Computing

Deep HDR estimation with generative detail reconstruction   We present qualitative and quantitative comparisons with existing techniques where our method achieves state-of-the-art performance. May 3, 2021Eurographics 2021   Authors Yang Zhang...
Semantic Deep Face Models

Semantic Deep Face Models

by Martina Megaro | Nov 25, 2020 | Capture, Digital Humans, Machine Learning

Semantic Deep Face Models   We present a method for nonlinear 3D face modeling using neural architectures. November 25, 20203D International Conference on 3D Vision (3DV) (2020)   Authors Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Derek Bradley...
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