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04/03/2023
RePAST: Relative Pose Attention Scene Representation Transformer
The Scene Representation Transformer (SRT) is a recent method to render ...
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03/06/2023
PaLM-E: An Embodied Multimodal Language Model
Large language models excel at a wide range of complex tasks. However, e...
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12/01/2021
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Neural Radiance Fields (NeRF) have emerged as a powerful representation ...
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11/25/2021
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
We present NeSF, a method for producing 3D semantic fields from posed RG...
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11/25/2021
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
A classical problem in computer vision is to infer a 3D scene representa...
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08/05/2020
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
We present a learning-based method for synthesizing novel views of compl...
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03/29/2019
From Variational to Deterministic Autoencoders
Variational Autoencoders (VAEs) provide a theoretically-backed framework...
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07/20/2018
Photorealistic Video Super Resolution
With the advent of perceptual loss functions, new possibilities in super...
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05/31/2018
Assessing Generative Models via Precision and Recall
Recent advances in generative modeling have led to an increased interest...
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02/12/2018
Tempered Adversarial Networks
Generative adversarial networks (GANs) have been shown to produce realis...
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01/14/2018
Frame-Recurrent Video Super-Resolution
Recent advances in video super-resolution have shown that convolutional ...
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12/23/2016
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Single image super-resolution is the task of inferring a high-resolution...
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09/06/2016
Depth Estimation Through a Generative Model of Light Field Synthesis
Light field photography captures rich structural information that may fa...
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06/02/2015
