QLIP Collection QLIP is a family of image tokenizers with SOTA reconstruction quality and zero-shot image understanding. • 3 items • Updated 18 days ago • 7
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation Paper • 2502.05178 • Published 17 days ago • 10
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation Paper • 2502.05178 • Published 17 days ago • 10
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation Paper • 2502.05178 • Published 17 days ago • 10 • 2
Eagle 2 Collection Eagle 2 is a family of frontier vision-language models with vision-centric design. The model supports 4K HD input, long-context video, and grounding. • 9 items • Updated Jan 23 • 31
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders Paper • 2408.15998 • Published Aug 28, 2024 • 86
Learning Video Representations from Large Language Models Paper • 2212.04501 • Published Dec 8, 2022
Distilling Vision-Language Models on Millions of Videos Paper • 2401.06129 • Published Jan 11, 2024 • 17
LEAP: Liberate Sparse-view 3D Modeling from Camera Poses Paper • 2310.01410 • Published Oct 2, 2023 • 1
VideoPrism: A Foundational Visual Encoder for Video Understanding Paper • 2402.13217 • Published Feb 20, 2024 • 24