ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
ChartMoE is a multimodal large language model with Mixture-of-Expert connector for advanced chart 1️⃣understanding, 2️⃣replot, 3️⃣editing, 4️⃣highlighting and 5️⃣transformation.
Jan 22, 2025
Aria: An Open Multimodal Native Mixture-of-Experts Model
Aria is a multimodal native MoE model. It features：1️⃣State-of-the-art performance on various multimodal and language tasks, superior in video and document understanding; 2️⃣Long multimodal context window of 64K tokens; 3️⃣3.9B activated parameters per token, enabling fast inference speed and low fine-tuning cost.
Oct 5, 2024
Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap
TriVQA is the 3rd winner of NTIRE 2024 Quality Assessment for AI-Generated Content - Track 2 Video.
Apr 10, 2024
Bringing Textual Prompt to AI-Generated Image Quality Assessment
IP-IQA is the first multimodal model for AI-Generated Image Quality Assessment.
Feb 22, 2024