research
∙
05/20/2023
PhotoMat: A Material Generator Learned from Single Flash Photos
Authoring high-quality digital materials is key to realism in 3D renderi...
share
research
∙
05/09/2023
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives
Programs are an increasingly popular representation for visual data, exp...
research
∙
04/25/2023
Generating Procedural Materials from Text or Image Prompts
Node graph systems are used ubiquitously for material design in computer...
research
∙
03/03/2023
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
Representing a 3D shape with a set of primitives can aid perception of s...
research
∙
12/01/2022
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models
Diffusion models have shown great promise for image generation, beating ...
research
∙
11/17/2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Diffusion models currently achieve state-of-the-art performance for both...
research
∙
10/25/2022
Search for Concepts: Discovering Visual Concepts Using Direct Optimization
Finding an unsupervised decomposition of an image into individual object...
research
∙
07/18/2022
NeuForm: Adaptive Overfitting for Neural Shape Editing
Neural representations are popular for representing shapes, as they can ...
research
∙
07/15/2022
Node Graph Optimization Using Differentiable Proxies
Graph-based procedural materials are ubiquitous in content production in...
research
∙
07/03/2022
MatFormer: A Generative Model for Procedural Materials
Procedural material graphs are a compact, parameteric, and resolution-in...
research
∙
06/30/2022
Controlling Material Appearance by Examples
Despite the ubiquitousness of materials maps in modern rendering pipelin...
research
∙
06/12/2022
TileGen: Tileable, Controllable Material Generation and Capture
Recent methods (e.g. MaterialGAN) have used unconditional GANs to genera...
research
∙
05/29/2022
COFS: Controllable Furniture layout Synthesis
Scalable generation of furniture layouts is essential for many applicati...
research
∙
04/05/2022
Neural Convolutional Surfaces
This work is concerned with a representation of shapes that disentangles...
research
∙
12/01/2021
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts
We present the Shape Part Slot Machine, a new method for assembling nove...
research
∙
09/22/2021
Differentiable Surface Triangulation
Triangle meshes remain the most popular data representation for surface ...
research
∙
06/04/2021
SketchGen: Generating Constrained CAD Sketches
Computer-aided design (CAD) is the most widely used modeling approach fo...
research
∙
04/13/2021
ShapeMOD: Macro Operation Discovery for 3D Shape Programs
A popular way to create detailed yet easily controllable 3D shapes is vi...
research
∙
12/02/2020
Learning Delaunay Surface Elements for Mesh Reconstruction
We present a method for reconstructing triangle meshes from point clouds...
research
∙
11/26/2020
Generative Layout Modeling using Constraint Graphs
We propose a new generative model for layout generation. We generate lay...
research
∙
10/17/2020
Discovering Pattern Structure Using Differentiable Compositing
Patterns, which are collections of elements arranged in regular or near-...
research
∙
09/17/2020
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
Manually authoring 3D shapes is difficult and time consuming; generative...
research
∙
08/18/2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
We investigate the problem of learning to generate 3D parametric surface...
research
∙
07/20/2020
Points2Surf: Learning Implicit Surfaces from Point Cloud Patches
A key step in any scanning-based asset creation workflow is to convert u...
research
∙
11/25/2019
StructEdit: Learning Structural Shape Variations
Learning to encode differences in the geometry and (topological) structu...
research
∙
08/01/2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
The ability to generate novel, diverse, and realistic 3D shapes along wi...
research
∙
01/04/2019
POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds
Point clouds obtained with 3D scanners or by image-based reconstruction ...
research
∙
06/20/2018
iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos
A long-standing challenge in scene analysis is the recovery of scene arr...
research
∙
06/19/2018
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs
Coarse building mass models are now routinely generated at scales rangin...
research
∙
10/13/2017
PCPNET: Learning Local Shape Properties from Raw Point Clouds
In this paper, we propose a deep-learning based approach for estimating ...
research
∙
05/22/2017
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels
In the context of scene understanding, a variety of methods exists to es...
research
∙
10/05/2015
