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04/27/2023
Learning a Diffusion Prior for NeRFs
Neural Radiance Fields (NeRFs) have emerged as a powerful neural 3D repr...
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02/09/2023
Polynomial Neural Fields for Subband Decomposition and Manipulation
Neural fields have emerged as a new paradigm for representing signals, t...
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02/08/2022
Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis
In this work, we address an important problem of optical see through (OS...
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02/01/2022
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
In applications such as optical see-through and projector augmented real...
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08/14/2020
Learning Gradient Fields for Shape Generation
In this work, we propose a novel technique to generate shapes from point...
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10/09/2019
QPyTorch: A Low-Precision Arithmetic Simulation Framework
Low-precision training reduces computational cost and produces efficient...
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06/28/2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
As 3D point clouds become the representation of choice for multiple visi...
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04/26/2019
SWALP : Stochastic Weight Averaging in Low-Precision Training
Low precision operations can provide scalability, memory savings, portab...
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10/03/2018
Deep Fundamental Matrix Estimation without Correspondences
Estimating fundamental matrices is a classic problem in computer vision....
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06/17/2018
Learning to Evaluate Image Captioning
Evaluation metrics for image captioning face two challenges. Firstly, co...
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11/12/2017