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04/24/2023
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
The ability to generate highly realistic 2D images from mere text prompt...
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03/30/2023
NeRF-Supervised Deep Stereo
We introduce a novel framework for training deep stereo networks effortl...
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03/22/2023
NeRF-GAN Distillation for Memory-Efficient 3D-Aware Generation with Convolutions
Pose-conditioned convolutional generative models struggle with high-qual...
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01/26/2023
Learning Good Features to Transfer Across Tasks and Domains
Availability of labelled data is the major obstacle to the deployment of...
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12/02/2022
LatentSwap3D: Semantic Edits on 3D Image GANs
Recent 3D-aware GANs rely on volumetric rendering techniques to disentan...
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11/09/2022
ParGAN: Learning Real Parametrizable Transformations
Current methods for image-to-image translation produce compelling result...
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06/23/2021
LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction
Most modern deep learning-based multi-view 3D reconstruction techniques ...
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02/05/2021
Unsupervised Novel View Synthesis from a Single Image
Novel view synthesis from a single image aims at generating novel views ...
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11/25/2020
Batch Normalization Embeddings for Deep Domain Generalization
Domain generalization aims at training machine learning models to perfor...
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11/17/2020
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views
Estimating the 3D shape of an object from a single or multiple images ha...
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07/10/2020
Continual Adaptation for Deep Stereo
Depth estimation from stereo images is carried out with unmatched result...
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09/09/2019
Unsupervised Domain Adaptation for Depth Prediction from Images
State-of-the-art approaches to infer dense depth measurements from image...
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08/05/2019
Semi-Automatic Labeling for Deep Learning in Robotics
In this paper, we propose Augmented Reality Semi-automatic labeling (ARS...
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07/17/2019
Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC
Obtaining highly accurate depth from stereo images in real time has many...
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04/09/2019
Learning Across Tasks and Domains
Recent works have proven that many relevant visual tasks are closely rel...
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04/05/2019
Learning to Adapt for Stereo
Real world applications of stereo depth estimation require models that a...
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02/02/2019
Domain invariant hierarchical embedding for grocery products recognition
Recognizing packaged grocery products based solely on appearance is stil...
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10/13/2018
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation
Performance achievable by modern deep learning approaches are directly r...
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10/12/2018
Real-time self-adaptive deep stereo
Deep convolutional neural networks trained end-to-end are the undisputed...
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10/03/2018
A deep learning pipeline for product recognition on store shelves
Recognition of grocery products in store shelves poses peculiar challeng...
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10/03/2018
A deep learning pipeline for product recognition in store shelves
Recognition of grocery products in store shelves poses peculiar challeng...
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07/26/2017