2 citations · 2 across the 6 of their papers we have counts for
6 papers · 1 filter
StippleDiffusion: Capacity-Constrained Stippling using Controlled Diffusion
Ofir Gilad, Aleksander Plocharski, Przemyslaw Musialski +1
Stipple patterns, point sets whose local density tracks a target image, are traditionally produced by per-density iterative optimizers, which are slow, non-differentiable, and must…
What a Comfortable World: Ergonomic Principles Guided Apartment Layout Generation
Piotr Nieciecki, Aleksander Plocharski, Przemyslaw Musialski
Current data-driven floor plan generation methods often reproduce the ergonomic inefficiencies found in real-world training datasets. To address this, we propose a novel approach t…
A Finite Difference Approximation of Second Order Regularization of Neural-SDFs
Haotian Yin, Aleksander Plocharski, Michal Jan Wlodarczyk +1
We introduce a finite-difference framework for curvature regularization in neural signed distance field (SDF) learning. Existing approaches enforce curvature priors using full Hess…
FlatCAD: Fast Curvature Regularization of Neural SDFs for CAD Models
Haotian Yin, Aleksander Plocharski, Michal Jan Wlodarczyk +2
Neural signed-distance fields (SDFs) are a versatile backbone for neural geometry representation, but enforcing CAD-style developability usually requires Gaussian-curvature penalti…
Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generation
Aleksander Plocharski, Jan Swidzinski, Przemyslaw Musialski
We use hierarchical procedural rules for the generation of control maps within the stable diffusion framework to produce photo-realistic architectural facade images. Starting from…
FaçAID: A Transformer Model for Neuro-Symbolic Facade Reconstruction
Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj +1
We introduce a neuro-symbolic transformer-based model that converts flat, segmented facade structures into procedural definitions using a custom-designed split grammar. To facilita…