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08/24/2023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Recent implicit neural representations have shown great results for nove...
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04/06/2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
Differentiable volumetric rendering is a powerful paradigm for 3D recons...
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03/28/2023
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
We present CARTO, a novel approach for reconstructing multiple articulat...
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03/20/2023
Zero-1-to-3: Zero-shot One Image to 3D Object
We introduce Zero-1-to-3, a framework for changing the camera viewpoint ...
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12/12/2022
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes
Compact and accurate representations of 3D shapes are central to many pe...
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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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07/27/2022
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
Our method studies the complex task of object-centric 3D understanding f...
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07/22/2022
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
Human perception reliably identifies movable and immovable parts of 3D s...
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07/12/2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
3D multi-object tracking aims to uniquely and consistently identify all ...
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07/06/2022
Multi-View Object Pose Refinement With Differentiable Renderer
This paper introduces a novel multi-view 6 DoF object pose refinement ap...
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07/06/2022
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation
We propose a three-stage 6 DoF object detection method called DPODv2 (De...
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05/08/2022
Unsupervised Discovery and Composition of Object Light Fields
Neural scene representations, both continuous and discrete, have recentl...
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04/15/2022
Multi-Frame Self-Supervised Depth with Transformers
Multi-frame depth estimation improves over single-frame approaches by al...
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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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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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04/05/2019
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects
One of the most important prerequisites for creating and evaluating 6D o...
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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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02/28/2019
DPOD: Dense 6D Pose Object Detector in RGB images
In this work we propose a new method for simultaneous object detection a...
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10/09/2018
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition
While convolutional neural networks are dominating the field of computer...
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05/16/2018
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation
In this work, we propose a method for object recognition and pose estima...
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04/24/2018
Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only
With the increasing availability of large databases of 3D CAD models, de...
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02/27/2017