[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
#计算机科学#MMagic (Multimodal Advanced, Generative, and Intelligent Creation) 是一个供专业人工智能研究人员和机器学习工程师去处理、编辑和生成图像与视频的开源 AIGC 工具箱
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Fast Example-based Image Synthesis and Style Transfer
翻译 - 基于示例的快速图像合成和样式转换
Photographic Image Synthesis with Cascaded Refinement Networks
#人脸识别#ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support ...
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
#计算机科学#Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
翻译 - APDrawingGAN的代码:使用分层GAN从人脸照片生成艺术肖像画(CVPR 2019 Oral)
An official implementation of MobileStyleGAN in PyTorch
翻译 - PyTorch中MobileStyleGAN的正式实现
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
#计算机科学#All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
#计算机科学#[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
翻译 - [MSG-GAN]任何人都可以GAN!高度稳定和强大的体系结构。几乎不需要或不需要超参数调整。
[ICCV 2023] A latent space for stochastic diffusion models
#计算机科学#[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
PITI: Pretraining is All You Need for Image-to-Image Translation
The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.
#人脸识别#CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...
#计算机科学#ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.