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06/05/2020
Learning Neural Light Transport
In recent years, deep generative models have gained significance due to ...
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03/27/2020
Learning Implicit Surface Light Fields
Implicit representations of 3D objects have recently achieved impressive...
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03/10/2020
Convolutional Occupancy Networks
Recently, implicit neural representations have gained popularity for lea...
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12/16/2019
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Learning-based 3D reconstruction methods have shown impressive results. ...
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12/11/2019
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
In recent years, Generative Adversarial Networks have achieved impressiv...
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05/17/2019
Texture Fields: Learning Texture Representations in Function Space
In recent years, substantial progress has been achieved in learning-base...
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12/10/2018
Occupancy Networks: Learning 3D Reconstruction in Function Space
With the advent of deep neural networks, learning-based approaches for 3...
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01/13/2018
Which Training Methods for GANs do actually Converge?
Recent work has shown local convergence of GAN training for absolutely c...
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01/13/2018
On the convergence properties of GAN training
Recent work has shown local convergence of GAN training for absolutely c...
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08/04/2017
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes
The success of deep learning in computer vision is based on availability...
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11/21/2016