UFM: A Simple Path towards Unified Dense Correspondence with Flow Carnegie Mellon University Yuchen Zhang, Nikhil Keetha, Chenwei Lyu, Bhuvan Jhamb, Yutian Chen Yuheng Qiu, Jay Karhade, Shreyas Jha, Yaoyu Hu Deva Ramanan, Sebastian Scherer, Wenshan Wang Overview UFM(UniFlowMatch) is a simple, end to end trained transformer model that directly regresses pixel displacement image that applies concurrently to both optical flow and wide baseline matching tasks. This model space contains the refine model. Quick Start Check out our Github Repo and the hugging face demo. Citation If you find our repository useful, please consider giving it a star ⭐ and citing our paper in your work:
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