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  • SIGGRAPH 2017
    • Decomposing Images into Layers via RGB-space Geometry
    • Image-based Reconstruction of Wire Art
    • Bounding Proxies for Shape Approximation
    • GRASS: Generative Recursive Autoencoders for Shape Structures
    • DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling
    • Real-Time User-Guided Image Colorization with Learned Deep Priors
    • Spectral Remapping for Image Downscaling
  • CVPR 2017
    • Learning Shape Abstractions by Assembling Volumetric Primitives
    • Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Netwo
    • Deep Image Matting
    • Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
    • DeMoN: Depth and Motion Network for Learning Monocular Stereo
    • A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
    • One-Shot Video Object Segmentation
  • SIGGRAPH ASIA 2017
    • Deep Reverse Tone Mapping
    • HDR image reconstruction from a single exposure using deep CNNs
    • BigSUR: Large-scale Structured Urban Reconstruction
    • Adaptive Synthesis of Indoor Scenes via Activity-Associated Object Relation Graphs
    • Robust Structure Simplification for Hex Re-meshing
    • Seamless: Seam erasure and seam-aware decoupling of shape from mesh resolution
    • ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
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  • Abstract
  • 问题描述
  • 主要贡献
  • Main Effect/Pipeline
  • 网络输出
  • 网络结构
  • Results
  • 模型重建
  • 相似度匹配
  • 无监督分类
  1. CVPR 2017

Learning Shape Abstractions by Assembling Volumetric Primitives

https://arxiv.org/pdf/1612.00404.pdf

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Last updated 6 years ago

Keyword: 3D Computer Vision

Abstract

问题描述

  • 用深度网络CNN学习三维模型的体块表示方式

主要贡献

  • 无监督数据驱动的网络结构，学习三维物体的分块表示

  • 用于模型相似度检索、模型分块、模型重建和模型变换

Main Effect/Pipeline

网络输出

网络结构

Results

模型重建

相似度匹配

无监督分类