From fc828f7e48f71e8518492ed7870f9019703f0544 Mon Sep 17 00:00:00 2001 From: "Yuxuan (Tim) Zhang" Date: Fri, 17 Nov 2017 23:04:19 -0500 Subject: [PATCH] Update README.md --- README.md | 61 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) diff --git a/README.md b/README.md index 84f91a6..7390a97 100644 --- a/README.md +++ b/README.md @@ -22,6 +22,8 @@ To make it a collaborative project, you may add content throught pull requests o [Geometric Deep Learning](http://geometricdeeplearning.com/) +[Paper Collection for 3D Understanding](https://www.cs.princeton.edu/courses/archive/spring15/cos598A/cos598A.html#Estimating) + ## Datasets To see a survey of RGBD datasets, I recommend to check out Michael Firman's [collection](http://www0.cs.ucl.ac.uk/staff/M.Firman//RGBDdatasets/) as well as the associated paper, [RGBD Datasets: Past, Present and Future](https://arxiv.org/pdf/1604.00999.pdf). Point Cloud Library also has a good dataset [catalogue](http://pointclouds.org/media/). @@ -62,6 +64,9 @@ To see a survey of RGBD datasets, I recommend to check out Michael Firman's [col :space_invader: O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis (2017) [[Paper]](http://wang-ps.github.io/O-CNN)

+:space_invader: Orientation-boosted voxel nets for 3D object recognition (2017) [[Paper]](https://lmb.informatik.uni-freiburg.de/Publications/2017/SZB17a/) +

+ :game_die: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (2017) [[Paper]](http://stanford.edu/~rqi/pointnet/)

@@ -103,6 +108,9 @@ To see a survey of RGBD datasets, I recommend to check out Michael Firman's [col :game_die: PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017) [[Paper]](https://arxiv.org/pdf/1706.02413.pdf)

+:game_die: 3D Graph Neural Networks for RGBD Semantic Segmentation (2017) [[Paper]](http://www.cs.toronto.edu/~rjliao/papers/iccv_2017_3DGNN.pdf) +

+ ## 3D Synthesis/Reconstruction _Parametric Morphable Model-based methods_ @@ -224,6 +232,9 @@ _Deep Learning Methods_ :game_die: Shape Generation using Spatially Partitioned Point Clouds (2017) [[Paper]](https://arxiv.org/pdf/1707.06267.pdf)

+:game_die: PCPNET Learning Local Shape Properties from Raw Point Clouds (2017) [[Paper]](https://arxiv.org/pdf/1710.04954.pdf) +

+ :game_die: DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image (2017) [[Paper]](http://ai.stanford.edu/~haosu/papers/SI2PC_arxiv_submit.pdf)

@@ -273,3 +284,53 @@ _Deep Learning Methods_ Learning Detail Transfer based on Geometric Features (2017) [[Paper]](http://surfacedetails.cs.princeton.edu/)

+ +## Scene Synthesis +Make It Home: Automatic Optimization of Furniture Arrangement (2011, SIGGRAPH) [[Paper]](http://people.sutd.edu.sg/~saikit/projects/furniture/index.html) +

+ +Interactive Furniture Layout Using Interior Design Guidelines (2011) [[Paper]](http://graphics.stanford.edu/~pmerrell/furnitureLayout.htm) +

+ +Synthesizing Open Worlds with Constraints using Locally Annealed Reversible Jump MCMC (2012) [[Paper]](http://graphics.stanford.edu/~lfyg/owl.pdf) +

+ +Sketch2Scene: Sketch-based Co-retrieval and Co-placement of 3D Models (2013) [[Paper]](http://sweb.cityu.edu.hk/hongbofu/projects/sketch2scene_sig13/#.WWWge__ysb0) +

+ +IM2CAD [[Paper]](http://homes.cs.washington.edu/~izadinia/im2cad.html) +

+ +Raster-to-Vector: Revisiting Floorplan Transformation (2017, ICCV) [[Paper]](http://www.cse.wustl.edu/~chenliu/floorplan-transformation.html) +

+ +## Scene Understanding +Understanding Indoor Scenes Using 3D Geometric Phrases (2013) [[Paper]](http://cvgl.stanford.edu/projects/3dgp/) +

+ +SceneGrok: Inferring Action Maps in 3D Environments (2014, SIGGRAPH) [[Paper]](http://graphics.stanford.edu/projects/scenegrok/) +

+ +PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding (2014) [[Paper]](http://panocontext.cs.princeton.edu/) +

+ +Learning Informative Edge Maps for Indoor Scene Layout Prediction (2015) [[Paper]](http://web.engr.illinois.edu/~slazebni/publications/iccv15_informative.pdf) +

+ +Rent3D: Floor-Plan Priors for Monocular Layout Estimation (2015) [[Paper]](http://www.cs.toronto.edu/~fidler/projects/rent3D.html) +

+ +A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method (2016) [[Paper]](https://pdfs.semanticscholar.org/7024/a92186b81e6133dc779f497d06877b48d82b.pdf?_ga=2.54181869.497995160.1510977308-665742395.1510465328) +

+ +Make It Home: Automatic Optimization of Furniture Arrangement (2011, SIGGRAPH) [[Paper]](http://people.sutd.edu.sg/~saikit/projects/furniture/index.html) +

+ +Make It Home: Automatic Optimization of Furniture Arrangement (2011, SIGGRAPH) [[Paper]](http://people.sutd.edu.sg/~saikit/projects/furniture/index.html) +

+ +Make It Home: Automatic Optimization of Furniture Arrangement (2011, SIGGRAPH) [[Paper]](http://people.sutd.edu.sg/~saikit/projects/furniture/index.html) +

+ +Make It Home: Automatic Optimization of Furniture Arrangement (2011, SIGGRAPH) [[Paper]](http://people.sutd.edu.sg/~saikit/projects/furniture/index.html) +