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Found 5 papers, 2 papers with code
Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models
This model functions as an AI design co-pilot, providing multiple design options for incomplete designs, which we demonstrate using the bicycle design CAD dataset.
Drag-guided diffusion models for vehicle image generation
Denoising diffusion models trained at web-scale have revolutionized image generation.
Interpreting and Improving Diffusion Models from an Optimization Perspective
Denoising is intuitively related to projection.
Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings
Generative AI models have made significant progress in automating the creation of 3D shapes, which has the potential to transform car design.
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
While different learning schemes -- fine-tuning, zero-shot, and few-shot learning -- have been widely explored and compared for languages such as English, there is comparatively little work in Chinese to fairly and comprehensively evaluate and compare these methods and thus hinders cumulative progress.
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