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Eric Bennett

2 accepted papers

2024

DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly

ECCV 2024poster

"We present a differentiable rendering framework to learn structured 3D abstractions in the form of primitive assemblies from sparse RGB images capturing a 3D object. By leveraging differentiable volume rendering, our method does not require 3D supervision. Architecturally, our network follows the g…

Cited by 4SourcePDFScholar
2023

HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling

ICCV 2023poster

We present the first active learning tool for fine-grained 3D part labeling, a problem which challenges even the most advanced deep learning (DL) methods due to the significant structural variations among the intricate parts. For the same reason, the necessary effort to annotate training data is tre…

Cited by 1PDFScholar