Results 11 to 20 of about 5,000,249 (354)
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion [PDF]
Robotics: Science and Systems, 2023 This paper introduces Diffusion Policy, a new way of generating robot behavior by representing a robot’s visuomotor policy as a conditional denoising diffusion process.
Cheng Chi +6 more
semanticscholar +1 more source
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps [PDF]
Neural Information Processing Systems, 2022 Diffusion probabilistic models (DPMs) are emerging powerful generative models. Despite their high-quality generation performance, DPMs still suffer from their slow sampling as they generally need hundreds or thousands of sequential function evaluations ...
Cheng Lu +5 more
semanticscholar +1 more source
Neural Information Processing Systems, 2022 Generating temporally coherent high fidelity video is an important milestone in generative modeling research. We make progress towards this milestone by proposing a diffusion model for video generation that shows very promising initial results. Our model
Jonathan Ho +5 more
semanticscholar +1 more source
Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2023 Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding excessive compute demands by training a diffusion model in a compressed lower-dimensional latent space. Here, we apply the LDM paradigm to high-resolution video generation,
A. Blattmann +6 more
semanticscholar +1 more source
RePaint: Inpainting using Denoising Diffusion Probabilistic Models [PDF]
Computer Vision and Pattern Recognition, 2022 Free-form inpainting is the task of adding new content to an image in the regions specified by an arbitrary binary mask. Most existing approaches train for a certain distribution of masks, which limits their generalization capabilities to unseen mask ...
Andreas Lugmayr +5 more
semanticscholar +1 more source
Imagen Video: High Definition Video Generation with Diffusion Models [PDF]
arXiv.org, 2022 We present Imagen Video, a text-conditional video generation system based on a cascade of video diffusion models. Given a text prompt, Imagen Video generates high definition videos using a base video generation model and a sequence of interleaved spatial
Jonathan Ho +10 more
semanticscholar +1 more source
Nanomaterials, 2022 Novel representative 2D materials of the Janus type family X-M-ZN2 are studied. These materials are hybrids of a transition metal dichalcogenide and a material from the MoSi2N4 family, and they were constructed and optimized from the MoSi2N4 monolayer by
Ruslan M. Meftakhutdinov +1 more
doaj +1 more source
MVDream: Multi-view Diffusion for 3D Generation [PDF]
International Conference on Learning Representations, 2023 We introduce MVDream, a diffusion model that is able to generate consistent multi-view images from a given text prompt. Learning from both 2D and 3D data, a multi-view diffusion model can achieve the generalizability of 2D diffusion models and the ...
Yichun Shi +5 more
semanticscholar +1 more source
Extracting Training Data from Diffusion Models [PDF]
USENIX Security Symposium, 2023 Image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have attracted significant attention due to their ability to generate high-quality synthetic images.
Nicholas Carlini +8 more
semanticscholar +1 more source
Modelling of Electron and Thermal Transport in Quasi-Fractal Carbon Nitride Nanoribbons
Fractal and Fractional, 2022 In this work, using calculations based on the density functional theory, molecular dynamics, non-equilibrium Green functions method, and Monte Carlo simulation, we study electronic and phonon transport in a device based on quasi-fractal carbon nitride ...
Renat T. Sibatov +4 more
doaj +1 more source