3 papers
cs.CV2025
FrontierGS: Progressive View-Space Frontier Expansion for Sparse 3D Gaussian Splatting
Zijian Wu, Mingfeng Jiang, Zidian Lin +6
3D Gaussian Splatting (3DGS) enables efficient, high-fidelity novel view synthesis, yet its performance degrades severely under sparse-view supervision due to extreme ill-posedness…
cs.CL2025
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
Jie Cao, Tianwei Lin, Bo Yuan +7
Recent studies integrate Low-Rank Adaptation (LoRA) and Mixture-of-Experts (MoE) to further enhance the performance of parameter-efficient fine-tuning (PEFT) methods in Large Langu…
cs.CV2024
MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation
Haoyu Zheng, Wenqiao Zhang, Zheqi Lv +8
Diffusion-based text-to-image (T2I) models have demonstrated remarkable results in global video editing tasks. However, their focus is primarily on global video modifications, and…