2 papers
cs.CL2026
FoRA: Fisher-orthogonal Rank Adaptation for Parameter-Efficient Fine-Tuning
Juneyoung Park, Seongbae Lee, Han-Sang Lee +6
Parameter-efficient fine-tuning(PEFT) has largely focused on LoRA and its accuracy-oriented variants, leaving the original goal of reducing trainable parameters has receivedcompara…
cs.CV2026
REVIVE 3D: Refinement via Encoded Voluminous Inflated prior for Volume Enhancement
Hankyeol Lee, Wooyeol Baek, Seongdo Kim +1
Recent generative models have shown strong performance in generating diverse 3D assets from 2D images, a fundamental research topic in computer vision and graphics. However, these…