AI RESEARCH
ReConText3D: Replay-based Continual Text-to-3D Generation
arXiv CS.CV
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ArXi:2604.13730v1 Announce Type: new Continual learning enables models to acquire new knowledge over time while retaining previously learned capabilities. However, its application to text-to-3D generation remains unexplored. We present ReConText3D, the first framework for continual text-to-3D generation. We first nstrate that existing text-to-3D models suffer from catastrophic forgetting under incremental