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10/23/2022
Photo-realistic Neural Domain Randomization
Synthetic data is a scalable alternative to manual supervision, but it r...
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09/30/2020
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
3D object detection from monocular images is an ill-posed problem due to...
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06/22/2020
Differentiable Rendering: A Survey
Deep neural networks (DNNs) have shown remarkable performance improvemen...
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11/26/2019
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
We present an automatic annotation pipeline to recover 9D cuboids and 3D...
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11/22/2019
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
We present a novel method to track 3D models in color and depth data. To...
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04/09/2019
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
In this paper, we address the problem of 3D object instance recognition ...
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04/04/2019
DeceptionNet: Network-Driven Domain Randomization
We present a novel approach to tackle domain adaptation between syntheti...
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12/06/2018
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
We present a deep learning method for end-to-end monocular 3D object det...
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10/07/2018
Deep Model-Based 6D Pose Refinement in RGB
We present a novel approach for model-based 6D pose refinement in color ...
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08/24/2018
BOP: Benchmark for 6D Object Pose Estimation
We propose a benchmark for 6D pose estimation of a rigid object from a s...
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11/27/2017
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
We present a novel method for detecting 3D model instances and estimatin...
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08/26/2016
