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06/23/2023
OpenMask3D: Open-Vocabulary 3D Instance Segmentation
We introduce the task of open-vocabulary 3D instance segmentation. Tradi...
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12/22/2022
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments
Object instance segmentation is a key challenge for indoor robots naviga...
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12/02/2022
LatentSwap3D: Semantic Edits on 3D Image GANs
Recent 3D-aware GANs rely on volumetric rendering techniques to disentan...
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04/01/2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Large foundation models can exhibit unique capabilities depending on the...
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12/08/2021
Implicit Neural Representations for Image Compression
Recently Implicit Neural Representations (INRs) gained attention as a no...
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08/19/2021
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs
Controllable scene synthesis consists of generating 3D information that ...
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02/24/2021
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
6D pose estimation from a single RGB image is a fundamental task in comp...
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12/05/2020
Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space
The distribution of a neural network's latent representations has been s...
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11/26/2020
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
Transferring the style from one image onto another is a popular and wide...
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04/08/2020
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
Scene understanding has been of high interest in computer vision. It enc...
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12/27/2019
Quaternion Equivariant Capsule Networks for 3D Point Clouds
We present a 3D capsule architecture for processing of point clouds that...
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09/03/2019
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
We propose a novel model for 3D semantic completion from a single depth ...
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07/23/2018
