Add pipeline tag, library name, and explicit links to model card

README.md

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 license: mit
+pipeline_tag: image-to-video
+library_name: diffusers
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 # StereoPilot: Learning Unified and Efficient Stereo Conversion via Generative Priors
 
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@@ -17,6 +20,8 @@ _**[Guibao Shen](https://a-bigbao.github.io)<sup>1,3*†</sup>, [Yihua Du](https
 
 </div>
 
+### [[Project Page]](https://hit-perfect.github.io/StereoPilot/) [[arXiv]](https://arxiv.org/abs/2512.16915) [[Code]](https://github.com/KlingTeam/StereoPilot) [Dataset]
+
 ## 📖 Introduction
 
 **TL;DR:** We propose **StereoPilot**, an efficient feed-forward architecture that leverages pretrained video diffusion transformers to directly synthesize novel views, overcoming the limitations of *Depth-Warp-Inpaint* methods without iterative denoising. With a domain switcher and cycle consistency loss, it enables robust multi-format stereo conversion. We also introduce **UniStereo**, the first large-scale unified dataset featuring both parallel and converged stereo formats.