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07/06/2023
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
Large vision-language models have achieved outstanding performance, but ...
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06/29/2023
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
Single image 3D reconstruction is an important but challenging task that...
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05/18/2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
We introduce OpenShape, a method for learning multi-modal joint represen...
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12/03/2022
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
Generalizable 3D part segmentation is important but challenging in visio...
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10/14/2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Semantic segmentation of LiDAR point clouds is an important task in auto...
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10/14/2022
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
We study how choices of input point cloud coordinate frames impact learn...
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05/05/2022
Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
Approximate convex decomposition aims to decompose a 3D shape into a set...
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01/28/2022
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation
In this paper, we focus on the simulation of active stereovision depth s...
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02/18/2021
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
We propose DeepMetaHandles, a 3D conditional generative model based on m...
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07/17/2020
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
We are interested in reconstructing the mesh representation of object su...
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03/19/2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
Building home assistant robots has long been a pursuit for vision and ro...
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11/30/2019
Morphing and Sampling Network for Dense Point Cloud Completion
3D point cloud completion, the task of inferring the complete geometric ...
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09/25/2019