Search Results for author: Massimo Bertozzi

Found 11 papers, 6 papers with code

Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing

2 code implementations29 Apr 2024 Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati

Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired requirements.

Multispectral Image Super-resolution Semantic Segmentation +1

Towards Controllable Face Generation with Semantic Latent Diffusion Models

1 code implementation19 Mar 2024 Alex Ergasti, Claudio Ferrari, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati

To address that, in this paper we propose a SIS framework based on a novel Latent Diffusion Model architecture for human face generation and editing that is both able to reproduce and manipulate a real reference image and generate diversity-driven results.

Face Generation

Informative Rays Selection for Few-Shot Neural Radiance Fields

no code implementations29 Dec 2023 Marco Orsingher, Anthony Dell'Eva, Paolo Zani, Paolo Medici, Massimo Bertozzi

Neural Radiance Fields (NeRF) have recently emerged as a powerful method for image-based 3D reconstruction, but the lengthy per-scene optimization limits their practical usage, especially in resource-constrained settings.

3D Reconstruction

Semantic Image Synthesis via Class-Adaptive Cross-Attention

2 code implementations30 Aug 2023 Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti, Massimo Bertozzi, Andrea Prati

Thus, they tend to overlook global image statistics, ultimately leading to unconvincing local style editing and causing global inconsistencies such as color or illumination distribution shifts.

Image Generation Semantic Segmentation +1

Automatic Generation of Semantic Parts for Face Image Synthesis

1 code implementation11 Jul 2023 Tomaso Fontanini, Claudio Ferrari, Massimo Bertozzi, Andrea Prati

Also, we show our model can be put before a SIS generator, opening the way to a fully automatic generation control of both shape and texture.

Decoder Image Generation +2

Learning Neural Radiance Fields from Multi-View Geometry

no code implementations24 Oct 2022 Marco Orsingher, Paolo Zani, Paolo Medici, Massimo Bertozzi

We present a framework, called MVG-NeRF, that combines classical Multi-View Geometry algorithms and Neural Radiance Fields (NeRF) for image-based 3D reconstruction.

3D Reconstruction Novel View Synthesis

Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians

1 code implementation10 Aug 2022 Anthony Dell'Eva, Marco Orsingher, Massimo Bertozzi

Generating dense point clouds from sparse raw data benefits downstream 3D understanding tasks, but existing models are limited to a fixed upsampling ratio or to a short range of integer values.

Decoder point cloud upsampling

Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction

no code implementations18 Jul 2022 Marco Orsingher, Paolo Zani, Paolo Medici, Massimo Bertozzi

In this paper, a complete pipeline for image-based 3D reconstruction of urban scenarios is proposed, based on PatchMatch Multi-View Stereo (MVS).

3D Reconstruction

Efficient View Clustering and Selection for City-Scale 3D Reconstruction

no code implementations18 Jul 2022 Marco Orsingher, Paolo Zani, Paolo Medici, Massimo Bertozzi

Image datasets have been steadily growing in size, harming the feasibility and efficiency of large-scale 3D reconstruction methods.

3D Reconstruction Clustering

Leveraging Local Domains for Image-to-Image Translation

no code implementations9 Sep 2021 Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette

Our comprehensive evaluation setting shows we are able to generate realistic translations, with minimal priors, and training only on a few images.

Image-to-Image Translation Transfer Learning +1

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