Imagen de Portada

Computer-Aided Design Generation by Cascaded Discrete Diffusion Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pan, Honghu, Luo, Xiaoling, Chen, Yongyong, He, Zhenyu, Wang, Pengyang
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion Model
por: Zhu, Guoqing, et al.
Publicado: (2024)

Text-to-CAD Retrieval: a Strong Baseline
por: Pan, Honghu, et al.
Publicado: (2026)

CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
por: Chen, Cheng, et al.
Publicado: (2025)

Computer-Aided Layout Generation for Building Design: A Review
por: Liu, Jiachen, et al.
Publicado: (2025)

Uniform Discrete Diffusion with Metric Path for Video Generation
por: Deng, Haoge, et al.
Publicado: (2025)

Generative Model-Assisted Demosaicing for Cross-multispectral Cameras
por: Luo, Jiahui, et al.
Publicado: (2025)

Neural-ABC: Neural Parametric Models for Articulated Body with Clothes
por: Chen, Honghu, et al.
Publicado: (2024)

DiMo: Discrete Diffusion Modeling for Motion Generation and Understanding
por: Zhang, Ning, et al.
Publicado: (2026)

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation
por: Li, Jiahao, et al.
Publicado: (2025)

Spatial Diffusion for Cell Layout Generation
por: Li, Chen, et al.
Publicado: (2024)

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
por: Pan, Kaihang, et al.
Publicado: (2025)

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
por: Wang, Zhendong, et al.
Publicado: (2025)

Mamba-CAD: State Space Model For 3D Computer-Aided Design Generative Modeling
por: Li, Xueyang, et al.
Publicado: (2026)

DiCache: Let Diffusion Model Determine Its Own Cache
por: Bu, Jiazi, et al.
Publicado: (2025)

Scene Graph Aided Radiology Report Generation
por: Wang, Jun, et al.
Publicado: (2024)

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
por: Li, Lijiang, et al.
Publicado: (2026)

Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
por: Guo, Lanqing, et al.
Publicado: (2024)

LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network
por: Zhang, Xuanqi, et al.
Publicado: (2024)

Simple and Fast Distillation of Diffusion Models
por: Zhou, Zhenyu, et al.
Publicado: (2024)

Bézier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation
por: Li, Chen, et al.
Publicado: (2025)

Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation Tokens
por: Wang, Yuqing, et al.
Publicado: (2026)

FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10,000 Classes
por: Pan, Ziying, et al.
Publicado: (2024)

CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation
por: Doris, Anna C., et al.
Publicado: (2025)

Topology Sculptor, Shape Refiner: Discrete Diffusion Model for High-Fidelity 3D Meshes Generation
por: Song, Kaiyu, et al.
Publicado: (2025)

DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshes
por: Wang, Xuyang, et al.
Publicado: (2025)

GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
por: Alam, Md Ferdous, et al.
Publicado: (2024)

DreamJourney: Perpetual View Generation with Video Diffusion Models
por: Pan, Bo, et al.
Publicado: (2025)

GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models
por: Ma, Jian, et al.
Publicado: (2024)

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning
por: Wang, Bohan, et al.
Publicado: (2025)

Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models
por: Zhou, Zhenyu, et al.
Publicado: (2026)

Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation
por: Mao, Jiawei, et al.
Publicado: (2025)

Safeguarding Facial Identity against Diffusion-based Face Swapping via Cascading Pathway Disruption
por: Wang, Liqin, et al.
Publicado: (2026)

Uni-Classifier: Leveraging Video Diffusion Priors for Universal Guidance Classifier
por: Zhou, Yujie, et al.
Publicado: (2026)

Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis
por: Ren, Sufen, et al.
Publicado: (2024)

ByTheWay: Boost Your Text-to-Video Generation Model to Higher Quality in a Training-free Way
por: Bu, Jiazi, et al.
Publicado: (2024)

DODO: Discrete OCR Diffusion Models
por: Man, Sean, et al.
Publicado: (2026)

MotionClone: Training-Free Motion Cloning for Controllable Video Generation
por: Ling, Pengyang, et al.
Publicado: (2024)

GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models
por: Han, Ning, et al.
Publicado: (2025)

ScenDi: 3D-to-2D Scene Diffusion Cascades for Urban Generation
por: Guo, Hanlei, et al.
Publicado: (2026)

Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
por: Wei, Zhixiang, et al.
Publicado: (2023)