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DmitryRyuminΒ 
posted an update Apr 25
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πŸš€πŸ•ΊπŸŒŸ New Research Alert - CVPR 2024 (Avatars Collection)! πŸŒŸπŸ’ƒπŸš€
πŸ“„ Title: WANDR: Intention-guided Human Motion Generation πŸ”

πŸ“ Description: WANDR is a conditional Variational AutoEncoder (c-VAE) that generates realistic motion of human avatars that navigate towards an arbitrary goal location and reach for it.

πŸ‘₯ Authors: Markos Diomataris, Nikos Athanasiou, Omid Taheri, Xi Wang, Otmar Hilliges, Michael J. Black

πŸ“… Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πŸ‡ΊπŸ‡Έ

πŸ“„ Paper: WANDR: Intention-guided Human Motion Generation (2404.15383)

🌐 Web Page: https://wandr.is.tue.mpg.de
πŸ“ Repository: https://github.com/markos-diomataris/wandr

πŸ“Ί Video: https://www.youtube.com/watch?v=9szizM-XUCg

πŸ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

πŸš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

πŸ” Keywords: #WANDR #HumanMotionGeneration #MotionSynthesis #3DAvatar #GoalOrientedMovement #IntentionGuided #ConditionalVAE #CVPR2024 #DeepLearning #Innovation
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