Search Results for author: Sara Rojas

Found 4 papers, 2 papers with code

Enhancing Neural Rendering Methods with Image Augmentations

no code implementations15 Jun 2023 Juan C. Pérez, Sara Rojas, Jesus Zarzar, Bernard Ghanem

We found that introducing image augmentations during training presents challenges such as geometric and photometric inconsistencies for learning NRMs from images.

3D Reconstruction Neural Rendering +1

Re-ReND: Real-time Rendering of NeRFs across Devices

1 code implementation ICCV 2023 Sara Rojas, Jesus Zarzar, Juan Camilo Perez, Artsiom Sanakoyeu, Ali Thabet, Albert Pumarola, Bernard Ghanem

Re-ReND is designed to achieve real-time performance by converting the NeRF into a representation that can be efficiently processed by standard graphics pipelines.

SegNeRF: 3D Part Segmentation with Neural Radiance Fields

no code implementations21 Nov 2022 Jesus Zarzar, Sara Rojas, Silvio Giancola, Bernard Ghanem

The predicted semantic fields allow SegNeRF to achieve an average mIoU of $\textbf{30. 30%}$ for 2D novel view segmentation, and $\textbf{37. 46%}$ for 3D part segmentation, boasting competitive performance against point-based methods by using only a few posed images.

3D Part Segmentation 3D Reconstruction +2

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds

1 code implementation ECCV 2020 Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem

Our proposed attack increases the attack success rate by up to 40% for those transferred to unseen networks (transferability), while maintaining a high success rate on the attacked network.

Adversarial Attack Classify 3D Point Clouds

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