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20242026
most citedParameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark

16 citations · 16 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Yi Xin, Qi Qin, Siqi Luo +29

We introduce Lumina-DiMOO, an open-source foundational model for seamless multi-modal generation and understanding. Lumina-DiMOO sets itself apart from prior unified models by util…

cs.CV2025

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Yi Xin, Juncheng Yan, Qi Qin +18

We present Lumina-mGPT 2.0, a stand-alone, decoder-only autoregressive model that revisits and revitalizes the autoregressive paradigm for high-quality image generation and beyond.…

cs.CV2025

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

Yi Xin, Le Zhuo, Qi Qin +8

AutoRegressive (AR) models have made notable progress in image generation, with Masked AutoRegressive (MAR) models gaining attention for their efficient parallel decoding. However,…

cs.CL2025

GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling

Siqi Li, Yufan Shen, Xiangnan Chen +13

The rapid advancement of multimodal large language models (MLLMs) has profoundly impacted the document domain, creating a wide array of application scenarios. This progress highlig…

cs.CV2025

Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Qi Qin, Le Zhuo, Yi Xin +20

We introduce Lumina-Image 2.0, an advanced text-to-image generation framework that achieves significant progress compared to previous work, Lumina-Next. Lumina-Image 2.0 is built u…

cs.CV2025

LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis

Shitian Zhao, Qilong Wu, Xinyue Li +10

We introduce LeX-Art, a comprehensive suite for high-quality text-image synthesis that systematically bridges the gap between prompt expressiveness and text rendering fidelity. Our…

cs.CV2025

Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT

Dongyang Liu, Shicheng Li, Yutong Liu +16

Recent advancements have established Diffusion Transformers (DiTs) as a dominant framework in generative modeling. Building on this success, Lumina-Next achieves exceptional perfor…