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cs.CV2026
InsHuman: Towards Natural and Identity-Preserving Human Insertion
Jie Li, Shulian Zhang, Yangyang Gao +4
Human insertion aims to naturally place specific individuals into a target background. Although existing image editing models may have such ability, they often produce failure case…
cs.CV2026
ZOTTA: Test-Time Adaptation with Gradient-Free Zeroth-Order Optimization
Ronghao Zhang, Shuaicheng Niu, Qi Deng +3
Test-time adaptation (TTA) aims to improve model robustness under distribution shifts by adapting to unlabeled test data, but most existing methods rely on backpropagation (BP), wh…