Comboverse: Compositional 3d assets creation using spatially-aware diffusion guidance
Generating high-quality 3D assets from a given image is highly desirable in various
applications such as AR/VR. Recent advances in single-image 3D generation explore feed …
applications such as AR/VR. Recent advances in single-image 3D generation explore feed …
Brepgen: A b-rep generative diffusion model with structured latent geometry
This paper presents BrepGen, a diffusion-based generative approach that directly outputs a
Boundary representation (B-rep) Computer-Aided Design (CAD) model. BrepGen …
Boundary representation (B-rep) Computer-Aided Design (CAD) model. BrepGen …
Complexgen: Cad reconstruction by b-rep chain complex generation
We view the reconstruction of CAD models in the boundary representation (B-Rep) as the
detection of geometric primitives of different orders, ie, vertices, edges and surface patches …
detection of geometric primitives of different orders, ie, vertices, edges and surface patches …
Leveraging se (3) equivariance for learning 3d geometric shape assembly
Shape assembly aims to reassemble parts (or fragments) into a complete object, which is a
common task in our daily life. Different from the semantic part assembly (eg, assembling a …
common task in our daily life. Different from the semantic part assembly (eg, assembling a …
A review of generative models for 3d vehicle wheel generation and synthesis
Integrating deep learning methodologies is pivotal in shaping the continuous evolution of
computer-aided design (CAD) and computer-aided engineering (CAE) systems. This review …
computer-aided design (CAD) and computer-aided engineering (CAE) systems. This review …
Assemble them all: Physics-based planning for generalizable assembly by disassembly
Assembly planning is the core of automating product assembly, maintenance, and recycling
for modern industrial manufacturing. Despite its importance and long history of research …
for modern industrial manufacturing. Despite its importance and long history of research …
Breaking bad: A dataset for geometric fracture and reassembly
Abstract We introduce Breaking Bad, a large-scale dataset of fractured objects. Our dataset
consists of over one million fractured objects simulated from ten thousand base models. The …
consists of over one million fractured objects simulated from ten thousand base models. The …
Neurosymbolic models for computer graphics
Procedural models (ie symbolic programs that output visual data) are a historically‐popular
method for representing graphics content: vegetation, buildings, textures, etc. They offer …
method for representing graphics content: vegetation, buildings, textures, etc. They offer …
DCSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
Abstract We present D $^ 2$ CSG, a neural model composed of two dual and
complementary network branches, with dropouts, for unsupervised learning of compact …
complementary network branches, with dropouts, for unsupervised learning of compact …
Neural shape mating: Self-supervised object assembly with adversarial shape priors
Learning to autonomously assemble shapes is a crucial skill for many robotic applications.
While the majority of existing part assembly methods focus on correctly posing semantic …
While the majority of existing part assembly methods focus on correctly posing semantic …