Search Results for author: Paulo Gotardo

Found 6 papers, 1 papers with code

MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space

no code implementations1 Apr 2024 Armand Comas-Massagué, Di Qiu, Menglei Chai, Marcel Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark Matthews, Paulo Gotardo, Octavia Camps, Sergio Orts-Escolano, Thabo Beeler

We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization.

An Implicit Physical Face Model Driven by Expression and Style

no code implementations27 Jan 2024 Lingchen Yang, Gaspard Zoss, Prashanth Chandran, Paulo Gotardo, Markus Gross, Barbara Solenthaler, Eftychios Sifakis, Derek Bradley

At the core, we present a framework for learning implicit physics-based actuations for multiple subjects simultaneously, trained on a few arbitrary performance capture sequences from a small set of identities.

Face Model Style Transfer

A Perceptual Shape Loss for Monocular 3D Face Reconstruction

no code implementations30 Oct 2023 Christopher Otto, Prashanth Chandran, Gaspard Zoss, Markus Gross, Paulo Gotardo, Derek Bradley

In this work we propose a new loss function for monocular face capture, inspired by how humans would perceive the quality of a 3D face reconstruction given a particular image.

3D Face Reconstruction

ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting

no code implementations ICCV 2023 Yingyan Xu, Gaspard Zoss, Prashanth Chandran, Markus Gross, Derek Bradley, Paulo Gotardo

Recent work on radiance fields and volumetric inverse rendering (e. g., NeRFs) has provided excellent results in building data-driven models of real scenes for novel view synthesis with high photorealism.

Inverse Rendering Novel View Synthesis

Continuous Landmark Detection With 3D Queries

no code implementations CVPR 2023 Prashanth Chandran, Gaspard Zoss, Paulo Gotardo, Derek Bradley

Neural networks for facial landmark detection are notoriously limited to a fixed set of landmarks in a dedicated layout, which must be specified at training time.

3D Face Reconstruction Facial Landmark Detection

Adaptive Convolutions for Structure-Aware Style Transfer

2 code implementations CVPR 2021 Prashanth Chandran, Gaspard Zoss, Paulo Gotardo, Markus Gross, Derek Bradley

Style transfer between images is an artistic application of CNNs, where the 'style' of one image is transferred onto another image while preserving the latter's content.

Image Generation Style Transfer

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