title: Atlas3D: Physically Constrained Self-Supporting Text-to-3D for
    Simulation and Fabrication
summary: Existing diffusion-based text-to-3D generation methods primarily focus on
  producing visually realistic shapes and appearances, often neglecting the
  physical constraints necessary for downstream tasks. Generated models
  frequently fail to maintain balance when placed in physics-based simulations or
  3D printed. This balance is crucial for satisfying user design intentions in
  interactive gaming, embodied AI, and robotics, where stable models are needed
  for reliable interaction. Additionally, stable models ensure that 3D-printed
  objects, such as figurines for home decoration, can stand on their own without
  requiring additional supports. To fill this gap, we introduce Atlas3D, an
  automatic and easy-to-implement method that enhances existing Score
  Distillation Sampling (SDS)-based text-to-3D tools. Atlas3D ensures the
  generation of self-supporting 3D models that adhere to physical laws of
  stability under gravity, contact, and friction. Our approach combines a novel
  differentiable simulation-based loss function with physically inspired
  regularization, serving as either a refinement or a post-processing module for
  existing frameworks. We verify Atlas3D's efficacy through extensive generation
  tasks and validate the resulting 3D models in both simulated and real-world
  environments.
paper_authors._id: 66588cb74c910980218efed0
paper_authors.name: Yunuo Chen
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paper_authors.fullname: Yunuo Chen
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paper_authors._id: 66588cb74c910980218efed1
paper_authors.name: Tianyi Xie
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paper_authors.fullname: Tianyi Xie
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paper_authors.user: XPandora
paper_authors._id: 66588cb74c910980218efed2
paper_authors.name: Zeshun Zong
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paper_authors.fullname: Zeshun Zong
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paper_authors.user: zeshunzong
paper_authors._id: 66588cb74c910980218efed3
paper_authors.name: Xuan Li
paper_authors._id: 66588cb74c910980218efed4
paper_authors.name: Feng Gao
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paper_authors.fullname: Feng Gao
paper_authors.type: user
paper_authors.user: Fen9Ga0
paper_authors._id: 66588cb74c910980218efed5
paper_authors.name: Yin Yang
paper_authors.status: extracted_pending
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paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/7zDJoxECjZicI_M5dRcNr.png
paper_authors.fullname: Yin Yang
paper_authors.type: user
paper_authors.user: yangzzzy
paper_authors._id: 66588cb74c910980218efed6
paper_authors.name: Ying Nian Wu
paper_authors._id: 66588cb74c910980218efed7
paper_authors.name: Chenfanfu Jiang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-31T11:23:52.869Z
paper_authors._id: 655683727be68c0961673f45
paper_authors.avatarUrl: /avatars/cddca36c041fa04860a4d42c0feaa07f.svg
paper_authors.fullname: Chenfanfu Jiang
paper_authors.type: user
paper_authors.user: cffjiang
paper_title: Atlas3D: Physically Constrained Self-Supporting Text-to-3D for
    Simulation and Fabrication
paper_summary: Existing diffusion-based text-to-3D generation methods primarily focus on
  producing visually realistic shapes and appearances, often neglecting the
  physical constraints necessary for downstream tasks. Generated models
  frequently fail to maintain balance when placed in physics-based simulations or
  3D printed. This balance is crucial for satisfying user design intentions in
  interactive gaming, embodied AI, and robotics, where stable models are needed
  for reliable interaction. Additionally, stable models ensure that 3D-printed
  objects, such as figurines for home decoration, can stand on their own without
  requiring additional supports. To fill this gap, we introduce Atlas3D, an
  automatic and easy-to-implement method that enhances existing Score
  Distillation Sampling (SDS)-based text-to-3D tools. Atlas3D ensures the
  generation of self-supporting 3D models that adhere to physical laws of
  stability under gravity, contact, and friction. Our approach combines a novel
  differentiable simulation-based loss function with physically inspired
  regularization, serving as either a refinement or a post-processing module for
  existing frameworks. We verify Atlas3D's efficacy through extensive generation
  tasks and validate the resulting 3D models in both simulated and real-world
  environments.
paper_ai_keywords: diffusionation text-to-3D Score Distillation Sampling (SDS) token self-supporting 3D models differentiable simulation-based loss function physically inspired regularization stability under gravity, contact, and friction