GitHub - eladrich/latent-stable-dreamfusion: A variant on ashawkey/stable-dreamfusion, operating in latent space
![ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF: Paper and Code - CatalyzeX ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF: Paper and Code - CatalyzeX](https://d3i71xaburhd42.cloudfront.net/811be823eca290d51eb751a6c5ef254a273a9614/2-Figure1-1.png)
ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF: Paper and Code - CatalyzeX
![Zhenjun Zhao on X: "Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models Xinhang Liu, et al. tl;dr: sparse inputs->coarse NeRF->coarse RGB and depth->rectification latent diffusion model->pseudo-observations ... Zhenjun Zhao on X: "Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models Xinhang Liu, et al. tl;dr: sparse inputs->coarse NeRF->coarse RGB and depth->rectification latent diffusion model->pseudo-observations ...](https://pbs.twimg.com/media/Fw8jffwaYAI2sJ3.jpg)
Zhenjun Zhao on X: "Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models Xinhang Liu, et al. tl;dr: sparse inputs->coarse NeRF->coarse RGB and depth->rectification latent diffusion model->pseudo-observations ...
![Deepmind Proposes LASER-NV: A Conditional Generative Model of Neural Radiance Fields Capable of Efficient Inference of Large and Complex Scenes Under Partial Observability Conditions - MarkTechPost Deepmind Proposes LASER-NV: A Conditional Generative Model of Neural Radiance Fields Capable of Efficient Inference of Large and Complex Scenes Under Partial Observability Conditions - MarkTechPost](http://www.marktechpost.com/wp-content/uploads/2023/01/Screenshot-2023-01-24-at-10.11.02-AM.png)