Interactive3D: Create What You Want by Interactive 3D Generation
Authors: name: Shaocong Dong, name: Lihe Ding, name: Zhanpeng Huang, name: Zibin Wang, name: Tianfan Xue, name: Dan Xu

3D object generation has undergone significant advancements, yielding
high-quality results. However, fall short of achieving precise user control,
often yielding results that do not align with user expectations, thus limiting
their applicability. User-envisioning 3D object generation faces significant
challenges in realizing its concepts using current generative models due to
limited interaction capabilities. Existing methods mainly offer two approaches:
(i) interpreting textual instructions with constrained controllability, or (ii)
reconstructing 3D objects from 2D images. Both of them limit customization to
the confines of the 2D reference and potentially introduce undesirable
artifacts during the 3D lifting process, restricting the scope for direct and
versatile 3D modifications. In this work, we introduce Interactive3D, an
innovative framework for interactive 3D generation that grants users precise
control over the generative process through extensive 3D interaction
capabilities. Interactive3D is constructed in two cascading stages, utilizing
distinct 3D representations. The first stage employs Gaussian Splatting for
direct user interaction, allowing modifications and guidance of the generative
direction at any intermediate step through (i) Adding and Removing components,
(ii) Deformable and Rigid Dragging, (iii) Geometric Transformations, and (iv)
Semantic Editing. Subsequently, the Gaussian splats are transformed into
InstantNGP. We introduce a novel (v) Interactive Hash Refinement module to
further add details and extract the geometry in the second stage. Our
experiments demonstrate that Interactive3D markedly improves the
controllability and quality of 3D generation. Our project webpage is available
at https://interactive-3d.github.io/.