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cs.CV2026
Rethinking Memorization Mitigation in Diffusion Models: Reinforcing Text Conditioning
Hyungjun Joo, Sehwan Kim, Hyeonggeun Han +2
Text-to-image diffusion models have achieved remarkable progress in image synthesis, yet can exhibit memorization by closely reproducing individual training examples. Effective mit…
cs.CV2025
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Hyeonggeun Han, Sehwan Kim, Hyungjun Joo +2
Despite their impressive generative capabilities, text-to-image diffusion models often memorize and replicate training data, prompting serious concerns over privacy and copyright.…