Tag: sds
- Word-As-Image for Semantic Typography (13 Oct 2023)
This is my reading note for Word-As-Image for Semantic Typography. This paper utilized the differential rendering for vector graph to train a diffusion model to generate vector graph for a given text. Check my note for related paper in # VectorFusion Text-to-SVG by Abstracting Pixel-Based Diffusion Models
- VectorFusion Text-to-SVG by Abstracting Pixel-Based Diffusion Models (12 Oct 2023)
This is my reading note for VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models. This paper utilized the differential rendering for vector graph to train a diffusion model to generate vector graph for a given text.
- DreamFusion Text-to-3D using 2D Diffusion (01 Sep 2023)
This is my reading note on DreamFusion: Text-to-3D using 2D Diffusion. This paper proposes a method (score distillation sampling or SDS) to distill a pre-trained text to image diffusion model to a 3D model. The 3D model, which is based on NERF, is trained per text prompt.
- ProlificDreamer High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (20 Aug 2023)
This is my reading note on ProlificDreamer High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. This method proposes variational score sampling to replace score distillation sampling to improve the details of text to image or text to 3D models. Project page: https://ml.cs.tsinghua.edu.cn/prolificdreamer/