To address these limitations, we propose a latent diffusion model based on Transformers for point cloud generation. Instead of directly building a diffusion process based on the points, we first propose a latent compressor to convert original point clouds into a set of latent tokens before feeding...
Diffusion models have been successfully applied to point cloud generation tasks recently. The main notion is using a forward process to progressively add noises into point clouds and then use a reverse process to generate point clouds by denoising these noises. However, since point cloud data is ...
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high generation quality, (ii) flexibility for manipulation and applications such as conditional synthesis and shape interpolation, ...
Latent diffusion transformer for point cloud generation Diffusion models have been successfully applied to point cloud generation tasks recently. The main notion is using a forward process to progressively add n... J Ji,R Zhao,M Lei - 《Visual Computer》 被引量: 0发表: 2024年 Michelangelo: Con...
A hierarchical diffusion model is then fit to the latents to complete the scene generation pipeline. We achieve a substantial improvement over existing state- of-the-art scene generation models. Additionally, we show how NeuralField-LDM can be used for a variety...
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...
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models Patrick Schramowski1,2,3,6* Manuel Brack3* Bjo¨rn Deiseroth2,3,5 Kristian Kersting1,2,3,4 1DFKI, 2Hessian.AI, 3Computer Science Department, TU Darmstadt 4Centre for Co...
📄Thanks to AI and Stable Diffusion , I was finally able to restore this only photo we had of our late uncle 📄I transform real person dancing to animation using stable diffusion and multiControlNet 📄Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold ...
MaxDiffusion is a collection of reference implementations of various latent diffusion models written in pure Python/Jax that run on XLA devices including Cloud TPUs and GPUs. MaxDiffusion aims to be a launching off point for ambitious Diffusion projects both in research and production. We encourage...
Latent BEV Sequence Diffusion 网络旨在预测未来的图像帧和点云。在多模态标记器的帮助下,这项任务变得更容易,从而可以准确预测未来的 BEV。具体来说,我们使用了一种基于扩散的方法和时空转换器,该方法将顺序噪声的BEV潜伏物转换为基于动作条件的干净的未来BEV预测。