AI RESEARCH
Not All Birds Look The Same: Identity-Preserving Generation For Birds
arXiv CS.CV
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ArXi:2512.04485v2 Announce Type: replace Since the advent of controllable image generation, increasingly rich modes of control have enabled greater customization and accessibility for everyday users. Zero-shot, identity-preserving models such as Insert Anything and OminiControl now applications like virtual try-on without requiring additional fine-tuning. While these models may be fitting for humans and rigid everyday objects, they still have limitations for non-rigid or fine-grained categories.