1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
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…
cs.CV2024★ 1 cited
A LoRA is Worth a Thousand Pictures
Chenxi Liu, Towaki Takikawa, Alec Jacobson
Recent advances in diffusion models and parameter-efficient fine-tuning (PEFT) have made text-to-image generation and customization widely accessible, with Low Rank Adaptation (LoR…
cs.CV2024
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…