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목록3d editing (2)
평범한 필기장
![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/cOfoQ4/btsIqVnHFsi/jmSEa1LhZmzYWRGqPaGHX0/img.png)
https://arxiv.org/abs/2406.17396 SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene EditingText-based 2D diffusion models have demonstrated impressive capabilities in image generation and editing. Meanwhile, the 2D diffusion models also exhibit substantial potentials for 3D editing tasks. However, how to achieve consistent edits across multiplearxiv.org1. Introduction I..
![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/u6A7z/btsIj6qHlHQ/SKR9vEpWAAyFlAJY5lrsWK/img.png)
https://posterior-distillation-sampling.github.io/ Posterior Distillation SamplingWe introduce Posterior Distillation Sampling (PDS), a novel optimization method for parametric image editing based on diffusion models. Existing optimization-based methods, which leverage the powerful 2D prior of diffusion models to handle various parametrposterior-distillation-sampling.github.io1. Introduction Edi..