activity
20232026
most citedText2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model

2 citations · 4 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.CV2023★ 2 cited

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model

Sungwon Hwang, Junha Hyung, Jaegul Choo

Recent advances in diffusion models such as ControlNet have enabled geometrically controllable, high-fidelity text-to-image generation. However, none of them addresses the question…