AI RESEARCH
GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence
arXiv CS.CV
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ArXi:2511.21945v2 Announce Type: replace Generating complete 3D objects under partial occlusions (i.e., amodal scenarios) is a practically important yet challenging problem, as large portions of object geometry are unobserved in real-world scenarios. Existing approaches either operate directly in 3D, which ensures geometric consistency but often lacks generative expressiveness, or rely on 2D amodal completion, which provides strong appearance priors but does not guarantee reliable 3D structure.