title: Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
summary: Generative AI (AIGC, a.k.a. AI generated content) has made remarkable
  progress in the past few years, among which text-guided content generation is
  the most practical one since it enables the interaction between human
  instruction and AIGC. Due to the development in text-to-image as well 3D
  modeling technologies (like NeRF), text-to-3D has become a newly emerging yet
  highly active research field. Our work conducts the first yet comprehensive
  survey on text-to-3D to help readers interested in this direction quickly catch
  up with its fast development. First, we introduce 3D data representations,
  including both Euclidean data and non-Euclidean data. On top of that, we
  introduce various foundation technologies as well as summarize how recent works
  combine those foundation technologies to realize satisfactory text-to-3D.
  Moreover, we summarize how text-to-3D technology is used in various
  applications, including avatar generation, texture generation, shape
  transformation, and scene generation.
paper_authors._id: 645c608d6ff46332e7568d85
paper_authors.name: Chenghao Li
paper_authors._id: 645c608d6ff46332e7568d86
paper_authors.name: Chaoning Zhang
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2023-06-28T09:26:35.978Z
paper_authors._id: 649a9b7cef592b26c3d39eb5
paper_authors.avatarUrl: /avatars/390b7ae94de540852ad5ce46bfb148e7.svg
paper_authors.fullname: Zhang
paper_authors.type: user
paper_authors.user: Chaoning
paper_authors._id: 645c608d6ff46332e7568d87
paper_authors.name: Atish Waghwase
paper_authors._id: 645c608d6ff46332e7568d88
paper_authors.name: Lik-Hang Lee
paper_authors._id: 645c608d6ff46332e7568d89
paper_authors.name: Francois Rameau
paper_authors._id: 645c608d6ff46332e7568d8a
paper_authors.name: Yang Yang
paper_authors._id: 645c608d6ff46332e7568d8b
paper_authors.name: Sung-Ho Bae
paper_authors._id: 645c608d6ff46332e7568d8c
paper_authors.name: Choong Seon Hong
paper_title: Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
paper_summary: Generative AI (AIGC, a.k.a. AI generated content) has made remarkable
  progress in the past few years, among which text-guided content generation is
  the most practical one since it enables the interaction between human
  instruction and AIGC. Due to the development in text-to-image as well 3D
  modeling technologies (like NeRF), text-to-3D has become a newly emerging yet
  highly active research field. Our work conducts the first yet comprehensive
  survey on text-to-3D to help readers interested in this direction quickly catch
  up with its fast development. First, we introduce 3D data representations,
  including both Euclidean data and non-Euclidean data. On top of that, we
  introduce various foundation technologies as well as summarize how recent works
  combine those foundation technologies to realize satisfactory text-to-3D.
  Moreover, we summarize how text-to-3D technology is used in various
  applications, including avatar generation, texture generation, shape
  transformation, and scene generation.
paper_ai_keywords: AIGC AI generated content text-guided content generation text-to-image 3D modeling NeRF text-to-3D 3D data-representations Euclidean data non-Euclidean data avatar generation texture generation shape transformation scene generation