#计算机科学# A collection of resources and papers on Diffusion Models
#自然语言处理#OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
翻译 - OpenVINO™工具包存储库
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simp...
#计算机科学#StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
#计算机科学#SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
翻译 - MMGeneration是基于PyTorch和MMCV的强大的生成模型工具包。
#计算机科学#A general fine-tuning kit geared toward diffusion models.
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
#计算机科学#[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
#计算机科学#DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"
Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
[CVPR2024, Highlight] Official code for DragDiffusion
Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
#计算机科学#Paint by Example: Exemplar-based Image Editing with Diffusion Models