Update README.md

README.md

@@ -8,15 +8,16 @@ pipeline_tag: other
 # MYRIAD (Envisioning the Future, One Step at a Time)
 
 [![Project Page](https://img.shields.io/badge/Project-Page-blue)](https://compvis.github.io/myriad)
-[![Paper](https://img.shields.io/badge/arXiv-paper-b31b1b)](https://huggingface.co/papers/2604.09527)
+[![Paper](https://img.shields.io/badge/arXiv-paper-b31b1b)](https://arxiv.org/abs/2604.09527)
 [![GitHub](https://img.shields.io/badge/GitHub-Code-black)](https://github.com/CompVis/flow-poke-transformer)
 [![OWM-95](https://img.shields.io/badge/HuggingFace-Dataset-yellow)](https://huggingface.co/datasets/CompVis/owm-95)
+[![Paper](https://img.shields.io/badge/Huggingface-Papers-yellow)](https://huggingface.co/papers/2604.09527)
 
-MYRIAD (Motion hYpothesis Reasoning via Iterative Autoregressive Diffusion) is an autoregressive diffusion model that predicts open-set future scene dynamics as step-wise inference over sparse point trajectories. Starting from a single image, it can efficiently explore thousands of plausible future outcomes, maintaining physical plausibility and long-range coherence.
+MYRIAD (Motion hYpothesis Reasoning via Iterative Autoregressive Diffusion) is an autoregressive diffusion model that predicts open-set future scene dynamics as step-wise inference over sparse point trajectories. Starting from a single image, it can efficiently explore thousands of plausible future outcomes, maintaining physical plausibility.
 
 ## Paper and Abstract
 
-The MYRIAD model was presented in the paper [Envisioning the Future, One Step at a Time](https://huggingface.co/papers/2604.09527).
+The MYRIAD model was presented in the paper [Envisioning the Future, One Step at a Time](https://arxiv.org/abs/2604.09527).
 
 From a single image, MYRIAD predicts distributions over sparse point trajectories autoregressively. This allows the model to predict consistent futures in open-set environments and plan actions by exploring a large number of counterfactual interactions.