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07/13/2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks
State-of-the-art models can perform well in controlled environments, but...
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07/11/2023
Self-supervised adversarial masking for 3D point cloud representation learning
Self-supervised methods have been proven effective for learning deep rep...
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05/17/2023
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
NeRF is a popular model that efficiently represents 3D objects from 2D i...
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03/10/2023
NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering
Traditional 3D face models are based on mesh representations with textur...
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01/27/2023
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN
Recently, generative models for 3D objects are gaining much popularity i...
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01/06/2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Talking face generation has historically struggled to produce head movem...
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09/30/2022
Two-headed eye-segmentation approach for biometric identification
Iris-based identification systems are among the most popular approaches ...
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06/08/2022
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression
The tree-based ensembles are known for their outstanding performance for...
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05/16/2022
Continual learning on 3D point clouds with random compressed rehearsal
Contemporary deep neural networks offer state-of-the-art results when ap...
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03/21/2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Few-shot models aim at making predictions using a minimal number of labe...
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10/26/2021
Non-Gaussian Gaussian Processes for Few-Shot Regression
Gaussian Processes (GPs) have been widely used in machine learning to mo...
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10/07/2021
Flow Plugin Network for conditional generation
Generative models have gained many researchers' attention in the last ye...
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09/18/2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Modern generative models achieve excellent quality in a variety of tasks...
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02/11/2021
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
Recently proposed 3D object reconstruction methods represent a mesh with...
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11/30/2020
RegFlow: Probabilistic Flow-based Regression for Future Prediction
Predicting future states or actions of a given system remains a fundamen...
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06/16/2020
UCSG-Net – Unsupervised Discovering of Constructive Solid Geometry Tree
Signed distance field (SDF) is a prominent implicit representation of 3D...
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06/15/2020
HyperFlow: Representing 3D Objects as Surfaces
In this work, we present HyperFlow - a novel generative model that lever...
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10/16/2019
Conditional Invertible Flow for Point Cloud Generation
This paper focuses on a novel generative approach for 3D point clouds th...
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11/28/2018
Semi-supervised learning with Bidirectional GANs
In this work we introduce a novel approach to train Bidirectional Genera...
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11/19/2018
Adversarial Autoencoders for Generating 3D Point Clouds
Deep generative architectures provide a way to model not only images, bu...
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06/18/2018
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
In this paper, we propose a novel regularization method for Generative A...
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04/06/2017
