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原创 个人笔记目录

已读文章笔记目录

2022-07-14 09:06:29 1060

原创 Computer Vision Arxiv Daily 2025.02.07

We introduce ConceptAttention, a novel method that leverages the expressive power of DiT attention layers to generate high-quality saliency maps that precisely locate textual concepts within images. Without requiring additional training, ConceptAttention r

2025-02-08 12:30:29 1055

原创 Computer Vision Arxiv Daily 2025.01.17

We introduce SynthLight, a diffusion model for portrait relighting. Our approach frames image relighting as a re-rendering problem, where pixels are transformed in response to changes in environmental lighting conditions. Using a physically-based rendering

2025-01-22 10:15:47 1256

原创 Computer Vision Arxiv Daily 2025.01.16

Video generation has achieved remarkable progress with the introduction of diffusion models, which have significantly improved the quality of generated videos. In this paper, we initially investigate the characteristics of features in intermediate layers,

2025-01-17 09:52:08 866

原创 Computer Vision Arxiv Daily 2025.01.15

CV Arxiv Daily 2025.01.15

2025-01-16 10:36:30 849

原创 Computer Vision Arxiv Daily 2025.01.14

Image matching, which aims to identify corresponding pixel locations between images, is crucial in a wide range of scientific disciplines, aiding in image registration, fusion, and analysis. We propose a large-scale pre-training framework that utilizes syn

2025-01-15 09:57:17 1188 2

原创 Computer Vision Arxiv Daily 2025.01.13

CV Arxiv Daily 2025.01.13

2025-01-14 10:53:34 815

原创 044_SSS_Counting Guidance for High Fidelity Text-to-Image Synthesis

现有的Stable Diffusion在文本生成图像时不能准确的生成指定数量的物体。

2023-07-11 10:30:01 417

原创 039_SSS_ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional LDM

本文提出了一种基于Latent Diffusion Model的un-paired风格迁移方法。

2023-06-25 09:34:18 675

原创 038_SSS_Multi-Architecture Multi-Expert Diffusion Models

本文提出了一种在diffusion的不同步数采用不同的网络结构的方法提高生成质量和效率。Diffusion模型需要大量的计算时间成本,改进方式主要有两个方面:(1)减少采样步数(2)降低网络规模现有的工作更多的关注于减少采样步。本文旨在降低网络规模。原始的Diffusion模型因为要建模不同步数,不同的噪声尺度下的特征,因此模型需要大量的参数。并且Diffusion更倾向于先学到低频的信息,然后逐渐学到高频的信息。

2023-06-11 22:07:38 767

原创 036_SS_Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models

本文提出了一种利用Diffusion模型,无监督的从少量图片中提取共同的构图概念的方法。大多数现有的concept discovery方法都集中在发现代表单个概念的潜在向量或方向,但需要监督数据标记每个concept。其他方法只关注图片中的物体对象,而不关注图片风格等信息。这项工作的贡献:(1) 本文提出了一种可扩展的方法,可以使用现有的生成模型在真实图像中无监督的发现构图概念。

2023-06-11 22:05:04 385

原创 037_SS_SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions

本文提出了一种即插即用的用Diffusion生成全景图的方法。Diffusion模型通常只能生成固定大小的图像,为了生成分辨率比较高的全景图。现有的方法分成两类:第一类方法是利用Inpainting的原理,给定一部分图像补全令一部分图像。但是这种方法不能做到无缝的生成高分图像,并且很容易重复相似的图像内容。第二类方法是joint diffusion,也就是在反向采样的过程中,同时采样多个视野部分的图像,然后每一步将这些图像重叠的部分取平均值。

2023-06-11 22:04:32 623

原创 035_SS_Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models

本文要利用Diffusion实现高保真高质量的文本-图像编辑,也就是既保证editability,又要保证fidelity。前者要求编辑后的图像应该包含与目标提示中提供的相应文本内容良好对齐的视觉内容,而后者期望编辑部分以外的区域应尽可能接近输入图像的区域。然而,大多数方法缺乏以下之一:用户友好性(例如,需要额外的掩码或输入图像的精确描述)、对更大域的泛化或对输入图像的高保真度。

2023-06-11 22:01:09 528

原创 033_SS_Inversion-Based Creativity Transfer with Diffusion Models

033_SS_Inversion-Based Creativity Transfer with Diffusion Models

2023-02-25 09:13:08 994

原创 031_SSS_Imagic Text-Based Real Image Editing with Diffusion Models

Imagic: Text-Based Real Image Editing with Diffusion Models

2023-02-14 17:52:07 1871

原创 030_SSS_MaskSketch Unpaired Structure-guided Masked Image Generation

MaskSketch: Unpaired Structure-guided Masked Image Generation

2023-02-09 12:02:50 816

原创 029_SSS_MaskGIT Masked Generative Image Transformer(CVPR2022)

029_SSS_MaskGIT Masked Generative Image Transformer(CVPR2022)

2023-02-08 16:37:35 1640

原创 028_SSS_Fine-tuning Diffusion Models with Limited Data

Fine-tuning Diffusion Models with Limited Data

2023-02-08 16:35:07 760

原创 027_SSS_Direct Inversion Optimization-Free Text-Driven Real Image Editing with Diffusion Models

Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models

2023-02-08 16:30:52 606

原创 026_SS_MoFusion A Framework for Denoising-Diffusion-based Motion Synthesis

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

2022-12-29 11:15:52 481

原创 025_SSS_BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

025_SSS_BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

2022-12-12 15:05:33 684

原创 024_SSS_Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics(ICCV2019)

024_SSS_Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics(ICCV2019)

2022-12-11 14:38:05 444

原创 023_SSS_Neural 3D Video Synthesis from Multi-view Video(CVPR2022)

023_SSS_Neural 3D Video Synthesis from Multi-view Video(CVPR2022)

2022-12-10 18:48:02 863

原创 022_SSS_Novel View Synthesis with Diffusion Models

Novel View Synthesis with Diffusion Models

2022-11-21 10:28:38 980

原创 021_SSSS_Diffusion Models Already Have a Semantic Latent Space

Diffusion Models Already Have a Semantic Latent Space

2022-11-20 14:59:07 1788

原创 007_补充_ Pytorch 反向传播和Neural ODE的反向传播

007_补充_ Pytorch 反向传播和Neural ODE的反向传播

2022-11-16 16:28:29 1006 1

原创 020_SSSS_A Style-Based Generator Architecture for Generative Adversarial Networks(StyleGAN)

A Style-Based Generator Architecture for Generative Adversarial Networks(StyleGAN)

2022-10-31 15:26:34 566

原创 019_SSSS_High-Resolution Image Synthesis and Semantic Manipulation with Conditioanl GANs

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs(Pix2PixHD)

2022-10-30 21:09:12 932

原创 018_SS_High-Resolution Image Editing via Multi-Stage Blended Diffusion

High-Resolution Image Editing via Multi-Stage Blended Diffusion

2022-10-29 09:49:40 769

原创 017_SSS_Semantic Image Synthesis via Diffusion Models

017_SSS_Semantic Image Synthesis via Diffusion Models

2022-10-21 21:49:56 1012

原创 016 _SSS_ GAN Inversion for Consistent Video Interpolation and Manipulation

016 _SSS_ GAN Inversion for Consistent Video Interpolation and Manipulation

2022-10-18 19:27:38 493

原创 生成模型笔记(八):Flow-Based Models

生成模型笔记(八):Flow-Based Models

2022-10-16 12:26:40 743

原创 生成模型笔记(七):自回归模型

生成模型笔记(七):自回归模型

2022-10-14 09:13:00 1260

原创 015_SSSSS_ Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization阅读笔记

2022-09-15 12:35:50 406

原创 014_SSS_High-Resolution Image Synthesis with Latent Diffusion Models

High-Resolution Image Synthesis with Latent Diffusion Models阅读笔记

2022-09-13 17:27:03 3096

原创 013_SSS_ Frido Feature Pyramid Diffusion for Complex Scene Image Synthesis

Frido Feature Pyramid Diffusion for Complex Scene Image Synthesis阅读笔记

2022-09-05 12:26:17 1055

原创 008_SSSS_ Improved Denoising Diffusion Probabilistic Models

Improved Denoising Diffusion Probabilistic Models 阅读笔记

2022-08-30 19:37:47 2305

原创 012_SSS_ Improving Diffusion Model Efficiency Through Patching

Improving Diffusion Model Efficiency Through Patching 阅读笔记

2022-08-04 21:17:43 603

原创 007_SSSSS_ Neural Ordinary Differential Equtions

Neural Ordinary Differential Equtions阅读笔记

2022-07-18 18:32:56 860

原创 生成模型笔记(六):生成模型

生成模型笔记(六):生成模型

2022-07-14 15:09:13 4101

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