SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
원문 초록
We present SkexGen, a novel autoregressive generative model for computer-aided design (CAD) construction sequences containing sketch-and-extrude modeling operations. Our model utilizes distinct Transformer architectures to encode topological, geometric, and extrusion variations of construction sequences into disentangled codebooks. Autoregressive Transformer decoders generate CAD construction sequences sharing certain properties specified by the codebook vectors. Extensive experiments demonstrate that our disentangled codebook representation generates diverse and high-quality CAD models, enhances user control, and enables efficient exploration of the design space. The code is available at https://samxuxiang.github.io/skexgen.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
ForesightNav: Learning Scene Imagination for Efficient Exploration
Disentangling Uncertainties by Learning Compressed Data Representation
Reward-Centered ReST-MCTS: A Robust Decision-Making Framework for Robotic Manipulation in High Uncertainty Environments
Contextualizing biological perturbation experiments through language
토론
이 논문과 연결된 포럼 글이 아직 없습니다.