activity
20172022
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 110 across the 8 of their papers we have counts for

collaborators

15 papers

cs.CV20221 cited

Search for Concepts: Discovering Visual Concepts Using Direct Optimization

Pradyumna Reddy, Paul Guerrero, Niloy J. Mitra

Finding an unsupervised decomposition of an image into individual objects is a key step to leverage compositionality and to perform symbolic reasoning. Traditionally, this problem…

cs.CV2022

COFS: Controllable Furniture layout Synthesis

Wamiq Reyaz Para, Paul Guerrero, Niloy Mitra +1

Scalable generation of furniture layouts is essential for many applications in virtual reality, augmented reality, game development and synthetic data generation. Many existing met…

cs.CV2022

Neural Convolutional Surfaces

Luca Morreale, Noam Aigerman, Paul Guerrero +2

This work is concerned with a representation of shapes that disentangles fine, local and possibly repeating geometry, from global, coarse structures. Achieving such disentanglement…

cs.CV2021

Differentiable Surface Triangulation

Marie-Julie Rakotosaona, Noam Aigerman, Niloy Mitra +2

Triangle meshes remain the most popular data representation for surface geometry. This ubiquitous representation is essentially a hybrid one that decouples continuous vertex locati…

cs.LG202126 cited

SketchGen: Generating Constrained CAD Sketches

Wamiq Reyaz Para, Shariq Farooq Bhat, Paul Guerrero +4

Computer-aided design (CAD) is the most widely used modeling approach for technical design. The typical starting point in these designs is 2D sketches which can later be extruded a…

cs.CV2020

Learning Delaunay Surface Elements for Mesh Reconstruction

Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman +2

We present a method for reconstructing triangle meshes from point clouds. Existing learning-based methods for mesh reconstruction mostly generate triangles individually, making it…