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04/05/2023
Generative Novel View Synthesis with 3D-Aware Diffusion Models
We present a diffusion-based model for 3D-aware generative novel view sy...
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12/14/2022
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction
We propose a deep learning method for three-dimensional reconstruction i...
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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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07/04/2022
Disentangling Random and Cyclic Effects in Time-Lapse Sequences
Time-lapse image sequences offer visually compelling insights into dynam...
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06/07/2022
Generating Long Videos of Dynamic Scenes
We present a video generation model that accurately reproduces object mo...
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06/01/2022
Elucidating the Design Space of Diffusion-Based Generative Models
We argue that the theory and practice of diffusion-based generative mode...
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03/11/2022
The Role of ImageNet Classes in Fréchet Inception Distance
Fréchet Inception Distance (FID) is a metric for quantifying the distanc...
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08/30/2021
What You Can Learn by Staring at a Blank Wall
We present a passive non-line-of-sight method that infers the number of ...
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06/23/2021
Alias-Free Generative Adversarial Networks
We observe that despite their hierarchical convolutional nature, the syn...
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04/08/2021
Appearance-Driven Automatic 3D Model Simplification
We present a suite of techniques for jointly optimizing triangle meshes ...
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06/11/2020
Training Generative Adversarial Networks with Limited Data
Training generative adversarial networks (GAN) using too little data typ...
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12/05/2019
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
We recover a video of the motion taking place in a hidden scene by obser...
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12/03/2019
Analyzing and Improving the Image Quality of StyleGAN
The style-based GAN architecture (StyleGAN) yields state-of-the-art resu...
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10/17/2019
A Dataset of Multi-Illumination Images in the Wild
Collections of images under a single, uncontrolled illumination have ena...
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06/27/2019
Flexible SVBRDF Capture with a Multi-Image Deep Network
Empowered by deep learning, recent methods for material capture can esti...
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04/18/2019
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
Image reconstruction techniques such as denoising often need to be appli...
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10/23/2018
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
Texture, highlights, and shading are some of many visual cues that allow...
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03/12/2018
