Multimodal Autoregressive Pre-training of Large Vision Encoders Paper • 2411.14402 • Published 4 days ago • 36
AIMv2 Collection A collection of AIMv2 vision encoders that supports a number of resolutions, native resolution, and a distilled checkpoint. • 19 items • Updated 3 days ago • 49
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models Paper • 2409.17146 • Published Sep 25 • 103
LLM2CLIP Collection LLM2CLIP makes SOTA pretrained CLIP modal more SOTA ever. • 7 items • Updated 6 days ago • 37
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos Paper • 2409.02095 • Published Sep 3 • 35
Transformer Explainer: Interactive Learning of Text-Generative Models Paper • 2408.04619 • Published Aug 8 • 155
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation Paper • 2407.17952 • Published Jul 25 • 29
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Paper • 2311.06242 • Published Nov 10, 2023 • 84
view article Article seemore: Implement a Vision Language Model from Scratch By AviSoori1x • Jun 23 • 65
DepthFM: Fast Monocular Depth Estimation with Flow Matching Paper • 2403.13788 • Published Mar 20 • 17
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model Paper • 2403.13064 • Published Mar 19 • 31
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting Paper • 2401.18075 • Published Jan 31 • 8