Research author
Yifan Shen
2 AI research papers in the One9Founders library, with summaries and links to original sources.
Papers by Yifan Shen
Jul 7, 2026
cs.CV
ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
Tianjiao Yu, Xinzhuo Li, Yifan Shen, et al.
Mar 19, 2026
cs.CV
DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising
Tianjiao Yu, Xinzhuo Li, Muntasir Wahed, et al.
DreamPartGen is a new AI system that generates 3D objects from text descriptions while understanding them as meaningful parts (like legs, arms, body), similar to how humans think about objects. Unlike previous methods that just focus on shape, this approach ensures each part's appearance matches the text description and that parts work together coherently, resulting in more realistic and interpretable 3D models.
3D generationtext-to-3Dpart-aware modelingsemantic understanding
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