activity
20202026
most citedOn Elastic Geodesic Grids and Their Planar to Spatial Deployment

47 citations · 63 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2026

Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans

Fedor Rodionov, Aleksandar Cvejic, Michael Birsak +2

Furnished floor plans support real-estate visualization, interior design, and architectural workflows, yet automatic furnishing remains challenged by limited real-world data and th…

cs.GR2026

Patchwork: A compact representation for 3D polygonal shapes

Ruichen Zheng, Biao Zhang, Michael Birsak +2

We introduce Patchwork, a new general-purpose shape representation capable of modeling 2D and 3D geometry with a small number of parameters. Patchwork is grounded in a rigorous mat…

cs.CV2026

Geometry without Position? When Positional Embeddings Help and Hurt Spatial Reasoning

Jian Shi, Michael Birsak, Wenqing Cui +2

This paper revisits the role of positional embeddings (PEs) within vision transformers (ViTs) from a geometric perspective. We show that PEs are not mere token indices but effectiv…

cs.AI2025

FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations

Fedor Rodionov, Abdelrahman Eldesokey, Michael Birsak +3

We introduce FloorplanQA, a diagnostic benchmark for evaluating spatial reasoning in large language models (LLMs). FloorplanQA is grounded in structured representations of indoor s…

cs.CV2025★ 1 cited

MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Models

Michael Birsak, John Femiani, Biao Zhang +1

Assigning realistic materials to 3D models remains a significant challenge in computer graphics. We propose MatCLIP, a novel method that extracts shape- and lighting-insensitive de…

cs.CV2023★ 9 cited

InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions

Qian Wang, Biao Zhang, Michael Birsak +1

Recent works have explored text-guided image editing using diffusion models and generated edited images based on text prompts. However, the models struggle to accurately locate the…