Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
Fuente:
arXiv
Saved in:
| Main Authors: | Stoppani, Leonardo, Bacciu, Davide, Mokarizadeh, Shahab |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
by: Zhang, Xinchen, et al.
Published: (2024)
by: Zhang, Xinchen, et al.
Published: (2024)
Supercharging Floorplan Localization with Semantic Rays
by: Grader, Yuval, et al.
Published: (2025)
by: Grader, Yuval, et al.
Published: (2025)
Mirror Diffusion Models for Constrained and Watermarked Generation
by: Liu, Guan-Horng, et al.
Published: (2023)
by: Liu, Guan-Horng, et al.
Published: (2023)
Generalization of Diffusion Models Arises with a Balanced Representation Space
by: Zhang, Zekai, et al.
Published: (2025)
by: Zhang, Zekai, et al.
Published: (2025)
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
by: Sun, Peng, et al.
Published: (2023)
by: Sun, Peng, et al.
Published: (2023)
RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
by: Zhu, Shen, et al.
Published: (2025)
by: Zhu, Shen, et al.
Published: (2025)
Scalable Evaluation of the Realism of Synthetic Environmental Augmentations in Images
by: Ruck, Damian J., et al.
Published: (2026)
by: Ruck, Damian J., et al.
Published: (2026)
Constrained Diffusion with Trust Sampling
by: Huang, William, et al.
Published: (2024)
by: Huang, William, et al.
Published: (2024)
Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
by: Kirchhof, Michael, et al.
Published: (2024)
by: Kirchhof, Michael, et al.
Published: (2024)
Pushing the Boundaries of State Space Models for Image and Video Generation
by: Hong, Yicong, et al.
Published: (2025)
by: Hong, Yicong, et al.
Published: (2025)
MARBLE: Multi-Aspect Reward Balance for Diffusion RL
by: Zhao, Canyu, et al.
Published: (2026)
by: Zhao, Canyu, et al.
Published: (2026)
ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models
by: Sepehri, Mohammad Shahab, et al.
Published: (2026)
by: Sepehri, Mohammad Shahab, et al.
Published: (2026)
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
by: Kim, Won Jun, et al.
Published: (2024)
by: Kim, Won Jun, et al.
Published: (2024)
Constrained Diffusion Models via Dual Training
by: Khalafi, Shervin, et al.
Published: (2024)
by: Khalafi, Shervin, et al.
Published: (2024)
Data Pruning in Generative Diffusion Models
by: Briq, Rania, et al.
Published: (2024)
by: Briq, Rania, et al.
Published: (2024)
FloorplanVLM: A Vision-Language Model for Floorplan Vectorization
by: Liu, Yuanqing, et al.
Published: (2026)
by: Liu, Yuanqing, et al.
Published: (2026)
Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models
by: Ge, Shiran, et al.
Published: (2025)
by: Ge, Shiran, et al.
Published: (2025)
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density
by: Li, Shuangqi, et al.
Published: (2024)
by: Li, Shuangqi, et al.
Published: (2024)
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
Generative Diffusion Modeling: A Practical Handbook
by: Ding, Zihan, et al.
Published: (2024)
by: Ding, Zihan, et al.
Published: (2024)
Phoenix: A Federated Generative Diffusion Model
by: Jothiraj, Fiona Victoria Stanley, et al.
Published: (2023)
by: Jothiraj, Fiona Victoria Stanley, et al.
Published: (2023)
BOOD: Boundary-based Out-Of-Distribution Data Generation
by: Liao, Qilin, et al.
Published: (2025)
by: Liao, Qilin, et al.
Published: (2025)
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
by: Zhu, Ye, et al.
Published: (2023)
by: Zhu, Ye, et al.
Published: (2023)
db-SP: Accelerating Sparse Attention for Visual Generative Models with Dual-Balanced Sequence Parallelism
by: Chen, Siqi, et al.
Published: (2025)
by: Chen, Siqi, et al.
Published: (2025)
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
by: Ghaemi, Hafez, et al.
Published: (2025)
by: Ghaemi, Hafez, et al.
Published: (2025)
Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models
by: Meintz, Michel, et al.
Published: (2025)
by: Meintz, Michel, et al.
Published: (2025)
Environment-Aware Satellite Image Generation with Diffusion Models
by: Kostagiolas, Nikos, et al.
Published: (2025)
by: Kostagiolas, Nikos, et al.
Published: (2025)
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
by: Gao, Weizhi, et al.
Published: (2025)
by: Gao, Weizhi, et al.
Published: (2025)
CCDM: Continuous Conditional Diffusion Models for Image Generation
by: Ding, Xin, et al.
Published: (2024)
by: Ding, Xin, et al.
Published: (2024)
Nearest Neighbour Score Estimators for Diffusion Generative Models
by: Niedoba, Matthew, et al.
Published: (2024)
by: Niedoba, Matthew, et al.
Published: (2024)
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
by: Liu, Zhen, et al.
Published: (2024)
by: Liu, Zhen, et al.
Published: (2024)
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
by: Li, Hongzhao, et al.
Published: (2026)
by: Li, Hongzhao, et al.
Published: (2026)
Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
by: Wang, Xiaohan, et al.
Published: (2025)
by: Wang, Xiaohan, et al.
Published: (2025)
Towards General Preference Alignment: Diffusion Models at Nash Equilibrium
by: Hu, Jiaming, et al.
Published: (2026)
by: Hu, Jiaming, et al.
Published: (2026)
Representation-Conditioned Diffusion Models for Guided Training Data Generation
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
Structured Generations: Using Hierarchical Clusters to guide Diffusion Models
by: Goncalves, Jorge da Silva, et al.
Published: (2024)
by: Goncalves, Jorge da Silva, et al.
Published: (2024)
TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
by: Jiang, Xuefeng, et al.
Published: (2025)
by: Jiang, Xuefeng, et al.
Published: (2025)
Object-Centric Diffusion for Efficient Video Editing
by: Kahatapitiya, Kumara, et al.
Published: (2024)
by: Kahatapitiya, Kumara, et al.
Published: (2024)
DivControl: Knowledge Diversion for Controllable Image Generation
by: Xie, Yucheng, et al.
Published: (2025)
by: Xie, Yucheng, et al.
Published: (2025)
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
by: Naiman, Ilan, et al.
Published: (2024)
by: Naiman, Ilan, et al.
Published: (2024)
Similar Items
-
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
by: Zhang, Xinchen, et al.
Published: (2024) -
Supercharging Floorplan Localization with Semantic Rays
by: Grader, Yuval, et al.
Published: (2025) -
Mirror Diffusion Models for Constrained and Watermarked Generation
by: Liu, Guan-Horng, et al.
Published: (2023) -
Generalization of Diffusion Models Arises with a Balanced Representation Space
by: Zhang, Zekai, et al.
Published: (2025) -
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
by: Sun, Peng, et al.
Published: (2023)