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之后我们就可以完成我们最初所说的功能。输入一个点云,得到经过encoder 提取的shape feature 和point feature 。之后将这两个特征进行先后加噪(这里加噪只能进行一小段不然会波坏原有的结构),之后...
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...
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 ...
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 36...
n this work, we propose a latent molecular diffusion model that can make the generated 3D molecules rich in diversity and maintain rich geometric features. The model captures the information of the forces and local constraints between atoms so that the generated molecules can maintain Euclidean ...
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 ...
LDM3D-VR builds upon the Latent Diffusion Model for 3D (LDM3D) [39] and explores RGBD generation for panoramic views. We also create a super-resolution model based on LDM3D that jointly upscales an image alongside its corresponding depth map. To summarize, our contributions are the following:...
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...
CVPR2022论文精读:Latent Diffusion Model for Image Synthesis, 视频播放量 16015、弹幕量 2、点赞数 116、投硬币枚数 61、收藏人数 307、转发人数 39, 视频作者 可爱的肚, 作者简介 荷兰留学博主,埃因霍温理工大学,人工智能–增材制造和计算光学,岗位制博士在读,相关
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 ...