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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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04/18/2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Latent Diffusion Models (LDMs) enable high-quality image synthesis while...
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02/14/2023
Score-based Diffusion Models in Function Space
Diffusion models have recently emerged as a powerful framework for gener...
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11/25/2022
Latent Space Diffusion Models of Cryo-EM Structures
Cryo-electron microscopy (cryo-EM) is unique among tools in structural b...
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11/18/2022
Magic3D: High-Resolution Text-to-3D Content Creation
DreamFusion has recently demonstrated the utility of a pre-trained text-...
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11/02/2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Large-scale diffusion-based generative models have led to breakthroughs ...
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10/18/2022
Differentially Private Diffusion Models
While modern machine learning models rely on increasingly large training...
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10/12/2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Denoising diffusion models (DDMs) have shown promising results in 3D poi...
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10/11/2022
GENIE: Higher-Order Denoising Diffusion Solvers
Denoising diffusion models (DDMs) have emerged as a powerful class of ge...
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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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02/08/2022
Causal Scene BERT: Improving object detection by searching for challenging groups of data
Modern computer vision applications rely on learning-based perception mo...
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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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12/15/2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
A wide variety of deep generative models has been developed in the past ...
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12/14/2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Score-based generative models (SGMs) have demonstrated remarkable synthe...
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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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11/01/2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Although machine learning models trained on massive data have led to bre...
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10/07/2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
The ability to synthesize realistic and diverse indoor furniture layouts...
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06/10/2021
Score-based Generative Modeling in Latent Space
Score-based generative models (SGMs) have recently demonstrated impressi...
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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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01/26/2021
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Neural signed distance functions (SDFs) are emerging as an effective rep...
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10/01/2020
