1 citations · 2 across the 4 of their papers we have counts for
4 papers
GimmBO: Interactive Generative Image Model Merging via Bayesian Optimization
Chenxi Liu, Selena Ling, Alec Jacobson
Fine-tuning-based adaptation is widely used to customize diffusion-based image generation, leading to large collections of community-created adapters that capture diverse subjects…
A LoRA is Worth a Thousand Pictures
Chenxi Liu, Towaki Takikawa, Alec Jacobson
Low-Rank Adaptation (LoRA) has become a standard approach for parameter-efficient fine-tuning of image diffusion models, with over 200K models trained to replicate artistic styles…
2D Neural Fields with Learned Discontinuities
Chenxi Liu, Siqi Wang, Matthew Fisher +2
Effective representation of 2D images is fundamental in digital image processing, where traditional methods like raster and vector graphics struggle with sharpness and textural com…
VecFusion: Vector Font Generation with Diffusion
Vikas Thamizharasan, Difan Liu, Shantanu Agarwal +5
We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded d…