第一个diffusion model 是 shape latent diffusion model。注意该diffusion model 是没有condition的。作用是输入输出希望一致。 第一个diffusion model 是 point latent diffusion model。该diffusion model 的condition 是shape feature。 具体的diffusion model的知识不在赘述。 有了这两个diffusion model之后我们就可以...
PDF:LDM3D-VR: Latent Diffusion Model for 3D VR Abstract 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 s...
Intel's latest advancements, Latent Diffusion Model for 3D (LDM3D) and Latent Diffusion Model for 3D VR (LDM3D-VR), extend this capability further by generating images and depth maps from text prompts. With this technology, you can create vivid RGBD representations and immersive ...
To address this issue, we propose a decomposed latent diffusion model that separately captures consistency information and offset information in the latent space with feature decoupling. To learn effective consistency information, the consistency constraint among different point clouds with a shape is ...
To this end, we introduce the hierarchical Latent Point Diffusion Model (LION) for 3D shape generation. LION is set up as a variational autoencoder (VAE) with a hierarchical latent space that combines a global shape latent representation with a point-structured latent space. For generation, we...
This research paper proposes a Latent Diffusion Model for 3D (LDM3D) that generates both image and depth map data from a given text prompt, allowing users to generate RGBD images from text prompts. The LDM3D model is fine-tuned on a dataset of tuples containing an RGB image, depth map ...
this script trains model for single-view-reconstruction or text2shape task the idea is that we take the encoder and decoder trained on the data as usual (without conditioning input), and when training the diffusion prior, we feed the clip image embedding as conditioning input: the shape-laten...
在本文中,我们将隐式图像扩散模型(latent image diffusion model)[23]扩展到视频领域,通过设计3D自编码器进行视频压缩。基于这个基线,我们进一步展示了如何通过层次结构和条件噪声增强的自然扩展来采样长视频。 最近,VDM [12]将扩散模型扩展到视频领域,从而开始了对视频生成扩散模型的探索。具体来说,他们将2D UNet修改...
This repository contains the code for Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study. The model architecture is illustrated below: Our code was written by applying SPADE, VQ-GAN, and LDM into 3D methods. We would like to ...
3.1. We feed this mask and the masked encoded video frames into the model for condition- 22566 Figure 6. 1280 × 2048 resolution samples from our Stable Diffusion-based text-to-video LDM, including video fine-tuned upsampler. Prompts: "An astronaut...