Inverse graphics--the task of inverting an image into physical variables that, when rendered,
enable reproduction of the observed scene--is a fundamental challenge in computer vision …

Against the backdrop of enthusiasm for large language models (LLMs), there is an urgent
need to scientifically assess their capabilities and shortcomings. This is nontrivial in part …

Editing 3D shapes through natural language instructions is a challenging task that requires
the comprehension of both language semantics and fine-grained geometric details. To …

Despite advances in text-to-3D generation methods, generation of multi-object
arrangements remains challenging. Current methods exhibit failures in generating …

We design a system that learns how to edit visual programs. Our edit network consumes a
complete input program and a visual target. From this input, we task our network with …

People grasp flexible visual concepts from a few examples. We explore a neurosymbolic
system that learns how to infer programs that capture visual concepts in a domain-general …

Library learning is the process of building a library of common functionalities from a given
set of programs. Typically, this process is applied in the context of aiding program synthesis …

We present a differentiable rendering framework to learn structured 3D abstractions in the
form of primitive assemblies from sparse RGB images capturing a 3D object. By leveraging …

Pattern images are everywhere in the digital and physical worlds, and tools to edit them are
valuable. But editing pattern images is tricky: desired edits are often programmatic: structure …

Procedural representations are desirable, versatile, and popular shape encodings.
Authoring them, either manually or using data-driven procedures, remains challenging, as a …