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08/21/2023
Patternshop: Editing Point Patterns by Image Manipulation
Point patterns are characterized by their density and correlation. While...
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08/10/2023
Zero Grads Ever Given: Learning Local Surrogate Losses for Non-Differentiable Graphics
Gradient-based optimization is now ubiquitous across graphics, but unfor...
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04/04/2023
Neural Field Convolutions by Repeated Differentiation
Neural fields are evolving towards a general-purpose continuous represen...
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11/30/2022
Plateau-free Differentiable Path Tracing
Current differentiable renderers provide light transport gradients with ...
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11/27/2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
We introduce 3inGAN, an unconditional 3D generative model trained from 2...
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11/23/2022
Learning to Rasterize Differentiable
Differentiable rasterization changes the common formulation of primitive...
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10/07/2022
Learning to Learn and Sample BRDFs
We propose a method to accelerate the joint process of physically acquir...
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05/22/2022
ReLU Fields: The Little Non-linearity That Could
In many recent works, multi-layer perceptions (MLPs) have been shown to ...
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04/20/2022
OutCast: Outdoor Single-image Relighting with Cast Shadows
We propose a relighting method for outdoor images. Our method mainly foc...
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04/19/2022
Metappearance: Meta-Learning for Visual Appearance Reproduction
There currently are two main approaches to reproducing visual appearance...
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03/29/2022
Clean Implicit 3D Structure from Noisy 2D STEM Images
Scanning Transmission Electron Microscopes (STEMs) acquire 2D images of ...
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02/02/2022
Eikonal Fields for Refractive Novel-View Synthesis
We tackle the problem of generating novel-view images from collections o...
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12/07/2021
Variance-Aware Weight Initialization for Point Convolutional Neural Networks
Appropriate weight initialization has been of key importance to successf...
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10/05/2021
Metameric Varifocal Holography
Computer-Generated Holography (CGH) offers the potential for genuine, hi...
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07/23/2021
Data-driven deep density estimation
Density estimation plays a crucial role in many data analysis tasks, as ...
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03/30/2021
Unsupervised Learning of 3D Object Categories from Videos in the Wild
Our goal is to learn a deep network that, given a small number of images...
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02/23/2021
Generative Modelling of BRDF Textures from Flash Images
We learn a latent space for easy capture, semantic editing, consistent i...
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02/11/2021
Neural BRDF Representation and Importance Sampling
Controlled capture of real-world material appearance yields tabulated se...
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02/08/2021
Blue Noise Plots
We propose Blue Noise Plots, two-dimensional dot plots that depict data ...
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12/22/2020
HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models
We seek to reconstruct sharp and noise-free high-dynamic range (HDR) vid...
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12/02/2020
Curiosity-driven 3D Scene Structure from Single-image Self-supervision
Previous work has demonstrated learning isolated 3D objects (voxel grids...
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10/05/2020
Deep Generative Modelling of Human Reach-and-Place Action
The motion of picking up and placing an object in 3D space is full of su...
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10/01/2020
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
We suggest to represent an X-Field -a set of 2D images taken across diff...
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07/13/2020
ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis
Proteins perform a large variety of functions in living organisms, thus ...
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04/06/2020
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss
Massive semantic labeling is readily available for 2D images, but much h...
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12/09/2019
Learning a Neural 3D Texture Space from 2D Exemplars
We propose a generative model of 2D and 3D natural textures with diversi...
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10/30/2019
Neural View-Interpolation for Sparse Light Field Video
We suggest representing light field (LF) videos as "one-off" neural netw...
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10/30/2019
Neural View-Interpolation for Sparse LightField Video
We suggest representing light field (LF) videos as "one-off" neural netw...
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04/16/2019
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
We show that denoising of 3D point clouds can be learned unsupervised, d...
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12/06/2018
Deep-learning to Predict Perceived Differences to a Hidden Reference Image
Image metrics predict the perceived per-pixel difference between a refer...
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11/28/2018
Escaping Plato's Cave using Adversarial Training: 3D Shape From Unstructured 2D Image Collections
We develop PlatonicGAN to discover 3D structure of an object class from ...
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11/12/2018
Deep-learning the Latent Space of Light Transport
We suggest a method to directly deep-learn light transport, i. e., the m...
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06/18/2018
End-to-end Sampling Patterns
Sample patterns have many uses in Computer Graphics, ranging from proced...
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06/14/2018
Perceptual Rasterization for Head-mounted Display Image Synthesis
We suggest a rasterization pipeline tailored towards the need of head-mo...
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06/05/2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
We propose an efficient and effective method to learn convolutions for n...
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05/08/2018
Learning on the Edge: Explicit Boundary Handling in CNNs
Convolutional neural networks (CNNs) handle the case where filters exten...
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04/03/2018
Deep Appearance Maps
We propose a deep representation of appearance, i. e. the relation of co...
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10/23/2017
Joint Material and Illumination Estimation from Photo Sets in the Wild
Faithful manipulation of shape, material, and illumination in 2D Interne...
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10/13/2017
Single-image Tomography: 3D Volumes from 2D X-Rays
As many different 3D volumes could produce the same 2D x-ray image, inve...
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01/23/2017
Plausible Shading Decomposition For Layered Photo Retouching
Photographers routinely compose multiple manipulated photos of the same ...
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11/28/2016
What Is Around The Camera?
How much does a single image reveal about the environment it was taken i...
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03/27/2016
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination
In this paper we are extracting surface reflectance and natural environm...
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03/19/2016
Deep Shading: Convolutional Neural Networks for Screen-Space Shading
In computer vision, convolutional neural networks (CNNs) have recently a...
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01/31/2016
Novel Views of Objects from a Single Image
Taking an image of an object is at its core a lossy process. The rich in...
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11/13/2015
Deep Reflectance Maps
Undoing the image formation process and therefore decomposing appearance...
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03/17/2015
