5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Several questions of visual generation in 2024
Shuyang Gu
This paper does not propose any new algorithms but instead outlines various problems in the field of visual generation based on the author's personal understanding. The core of the…
cs.CV2024
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation
Xinzhi Mu, Li Chen, Bohan Chen +5
Recently, the application of modern diffusion-based text-to-image generation models for creating artistic fonts, traditionally the domain of professional designers, has garnered si…
cs.CV2023★ 5 cited
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
Zigang Geng, Binxin Yang, Tiankai Hang +8
We present InstructDiffusion, a unifying and generic framework for aligning computer vision tasks with human instructions. Unlike existing approaches that integrate prior knowledge…