mlsanityData to 7 Oct 2026

Generating Physically Sound Designs from Text and a Set of Physical Constraints

arXiv 2602.02213 ↗First posted 2 Feb 2026cs.LG cs.AIcited by 0

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Abstract (arXiv)

We present TIDES, a text informed design approach for generating physically sound designs based on a textual description and a set of physical constraints. TIDES jointly optimizes structural (topology) and visual properties. A pre-trained text-image model is used to measure the design's visual alignment with a text prompt and a differentiable physics simulator is used to measure its physical performance. We evaluate TIDES on a series of structural optimization problems operating under different load and support conditions, at different resolutions, and experimentally in the lab by performing the 3-point bending test on 2D beam designs that are extruded and 3D printed. We find that it can jointly optimize the two objectives and return designs that satisfy engineering design requirements (compliance and density) while utilizing features specified by text.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 21 of its 40 references that are in the map. First posted on arXiv 2 Feb 2026.

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References · 21

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  4. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  5. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  6. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  7. 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,214
  8. 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
  9. 2021CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoderscited by 186
  10. 2022Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Modelscited by 151
  11. 2024DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarkscited by 74
  12. 2019Neural reparameterization improves structural optimizationcited by 44
9 more
  1. 2021Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Conceptscited by 40
  2. 2024Physically Compatible 3D Object Modeling from a Single Imagecited by 38
  3. 2021Illuminating Diverse Neural Cellular Automata for Level Generationcited by 35
  4. 2025DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundnesscited by 24
  5. 2024Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabricationcited by 19
  6. 2024Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embeddingcited by 13
  7. 2024Precise-Physics Driven Text-to-3D Generationcited by 9
  8. 2023Topology Optimization with Text-Guided Stylizationcited by 3
  9. 2022A Tutorial on Structural Optimizationcited by 1

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