Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation
Authors: name: Kam Woh Ng, name: Jing Yang, name: Jia Wei Sii, name: Jiankang Deng, name: Chee Seng Chan, name: Yi-Zhe Song, name: Tao Xiang, name: Xiatian Zhu

In this paper, we push the boundaries of fine-grained 3D generation into
truly creative territory. Current methods either lack intricate details or
simply mimic existing objects -- we enable both. By lifting 2D fine-grained
understanding into 3D through multi-view diffusion and modeling part latents as
continuous distributions, we unlock the ability to generate entirely new, yet
plausible parts through interpolation and sampling. A self-supervised feature
consistency loss further ensures stable generation of these unseen parts. The
result is the first system capable of creating novel 3D objects with
species-specific details that transcend existing examples. While we demonstrate
our approach on birds, the underlying framework extends beyond things that can
chirp! Code will be released at https://github.com/kamwoh/chirpy3d.