Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation Let 2D Diffusion Model Know 3D-Consistency for Robust...
进入正文Text-guided Diffusion Model for 3D Molecule Generation 三角度: 1、方法?如何做的? 2、贡献?可学到什么? 3、自己的猜想是什么? 1、方法 用于3D分子生成的等变扩散模型ICML2022_equivariant diffusion for molecule generation in 3-CSDN博客blog.csdn.net/qq_40943760/article/details/130028999 先了...
Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models have generated realistic images from textual input, as demonstrated by DALL-E 2, Imagen, and Stable Diffusion. However, their use in medic
3) A structured latent diffusion model for generative human appearance sampling. Extensive experiments validate StructLDM's state-of-the-art generation performance and illustrate the expressiveness of the structured latent space over the well-adopted 1D latent space. Notably, StructLDM enables different ...
which we instantiate to be a voxel radiance field. This setup aggregates 2D scores at multiple camera viewpoints into a 3D score, and repurposes a pretrained 2D model for 3D data generation. We identify a technical challenge of distribution mismatch that arises in this application, and propose ...
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-...
《Diffusion probabilistic models for 3d point cloud generation》是一项关于基于扩散的三维视觉任务的早期工作。在非平衡热力学的激励下,这项工作将点云中的点类比为热力学系统中的粒子,并在点云生成中采用了扩散过程,从而获得了具有竞争力的性能。 PVD是一项同时进行的基于扩散的点云生成工作,但在没有附加形状编码...
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 ...
34which shares similarities with 3D molecule generation. These methods excel at inpainting 3D objects by learning the joint distribution. Although there is a diffusion model35developed for structure-based molecule generation, however, it requires training the user-defined parameters, leading to ...
We demonstrate that such a multi-view diffusion model is implicitly a generalizable 3D prior agnostic to 3D representations. It can be applied to 3D generation via Score Distillation Sampling, significantly enhancing the consistency and stability of existing 2D-lifting methods. It can also learn new...