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How to continually adapt text-to-image diffusion models for flexible customization?Advances in Neural In- formation Processing Systems, 37:130057–130083, 2024

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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cs.CV 2

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2026 2

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ReConText3D: Replay-based Continual Text-to-3D Generation

cs.CV · 2026-04-15 · conditional · novelty 8.0

ReConText3D is the first replay-memory framework for continual text-to-3D generation that prevents catastrophic forgetting on new textual categories while preserving quality on previously seen classes.

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Showing 2 of 2 citing papers.

  • ReConText3D: Replay-based Continual Text-to-3D Generation cs.CV · 2026-04-15 · conditional · none · ref 9

    ReConText3D is the first replay-memory framework for continual text-to-3D generation that prevents catastrophic forgetting on new textual categories while preserving quality on previously seen classes.

  • FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer cs.CV · 2026-04-11 · unverdicted · none · ref 6

    FREE-Switch dynamically switches LoRA adapters using frequency importance per diffusion step and adds semantic alignment to reduce content drift when merging specialized image generators.