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+# LDM3D-VR model
+
+The LDM3D model was proposed in ["LDM3D-VR: Latent Diffusion Model for 3D"](https://arxiv.org/pdf/2311.03226.pdf) by Gabriela Ben Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai, Michael Paulitsch, Vasudev Lal.
+
+LDM3D got accepted to [NeurIPS Workshop'23 on Diffusion Models][https://neurips.cc/virtual/2023/workshop/66539].
+
+This new checkpoint related to the upscaler called LDM3D-sr.
+
+# Model description
+The abstract from the paper is the following: Latent diffusion models have proven to be state-of-the-art in the creation and manipulation of visual outputs. However, as far as we know, the generation of depth maps jointly with RGB is still limited. We introduce LDM3D-VR, a suite of diffusion models targeting virtual reality development that includes LDM3D-pano
+and LDM3D-SR. These models enable the generation of panoramic RGBD based on textual prompts and the upscaling of low-resolution inputs to high-resolution RGBD, respectively. Our models are fine-tuned from existing pretrained models on datasets containing panoramic/high-resolution RGB images, depth maps and captions. Both models are evaluated in comparison to existing related methods. 
 
 ## Examples