Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
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.
645c608d6ff46332e7568d85
Chenghao Li
645c608d6ff46332e7568d86
Chaoning Zhang
claimed_verified
2023-06-28T09:26:35.978Z
649a9b7cef592b26c3d39eb5
/avatars/390b7ae94de540852ad5ce46bfb148e7.svg
Zhang
user
Chaoning
645c608d6ff46332e7568d87
Atish Waghwase
645c608d6ff46332e7568d88
Lik-Hang Lee
645c608d6ff46332e7568d89
Francois Rameau
645c608d6ff46332e7568d8a
Yang Yang
645c608d6ff46332e7568d8b
Sung-Ho Bae
645c608d6ff46332e7568d8c
Choong Seon Hong
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
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.
This survey compiles and explains the advancements in text-to-3D generation, covering foundational technologies, data representations, and applications across various domains.
text-to-3D Euclidean data non-Euclidean data NeRF avatar generation texture generation shape transformation scene generation