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07/14/2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
In this work, we introduce a self-supervised feature representation lear...
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04/19/2023
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
Automatically generating high-quality real world 3D scenes is of enormou...
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09/22/2022
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
As several industries are moving towards modeling massive 3D virtual wor...
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07/04/2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
Given a small training data set and a learning algorithm, how much more ...
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06/06/2022
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Modern image generative models show remarkable sample quality when train...
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01/12/2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Annotating images with pixel-wise labels is a time-consuming and costly ...
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11/04/2021
EditGAN: High-Precision Semantic Image Editing
Generative adversarial networks (GANs) have recently found applications ...
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04/12/2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Training deep networks with limited labeled data while achieving a stron...
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09/01/2020
Fed-Sim: Federated Simulation for Medical Imaging
Labelling data is expensive and time consuming especially for domains su...
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12/04/2018
