Results 21 to 30 of about 5,332,049 (311)
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
Diffusion Models: A Comprehensive Survey of Methods and Applications [PDF]
ACM Computing Surveys, 2022 Diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image synthesis, video generation, and molecule design.
Ling Yang +8 more
semanticscholar +1 more source
Palette: Image-to-Image Diffusion Models [PDF]
International Conference on Computer Graphics and Interactive Techniques, 2021 This paper develops a unified framework for image-to-image translation based on conditional diffusion models and evaluates this framework on four challenging image-to-image translation tasks, namely colorization, inpainting, uncropping, and JPEG ...
Chitwan Saharia +7 more
semanticscholar +1 more source
Diffusion Models in Vision: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Denoising diffusion models represent a recent emerging topic in computer vision, demonstrating remarkable results in the area of generative modeling. A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and ...
Florinel-Alin Croitoru +3 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
Diffusion Posterior Sampling for General Noisy Inverse Problems [PDF]
International Conference on Learning Representations, 2022 Diffusion models have been recently studied as powerful generative inverse problem solvers, owing to their high quality reconstructions and the ease of combining existing iterative solvers.
Hyungjin Chung +4 more
semanticscholar +1 more source