Prompt-to-Prompt Image Editing with Cross Attention Control 论文阅读
Magic3D: High-Resolution Text-to-3D Content Creation 论文阅读
(AAAI2022-PSOD)Weakly-Supervised Salient Object Detection Using Point Supervision 论文阅读
感觉也8行
(CVPR2023)DiffRF: Rendering-Guided 3D Radiance Field Diffusion 论文阅读
感觉8行
(CVPR2023)Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
(ICLR2023)DIFFUSION PROBABILISTIC FIELDS
CAL：低分辨率姿态估计
转载
(CVPR2023-IOCFormer)Indiscernible Object Counting in Underwater Scenes 论文阅读
(CVPR2023)DiffPose: Toward More Reliable 3D Pose Estimation 论文阅读
1. 扩散过程的最终结果 不是高斯噪声, 而是 Coarse Estimate Distribution. 2. 使用 GMM 重新建模 , 使得扩散的中间结果的分布带有方差信息. @2023.06.03 突然发现这篇文章中CVPR了 质量确实不错
(ECCV2022)UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection 论文阅读
(ICML2023)NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion 论文阅读
eq7看不懂了
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations 论文阅读
@2023.05.31 补充一点点
(AAAI2021-SCWSSOD)Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence 论文阅读
(CVPR2020-ScribbleSaliency)Weakly-Supervised Salient Object Detection via Scribble Annotations
感觉DGNet就是从里面拿了一部分
(CVPR2023)HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images-论文阅读
初看感觉没道理 再看其实挺有道理的 感觉可以直接用到弱监督
Diffusion Models - 扩散模型
2022.10.15@更新了一点, 发现还是得看的 QAQ 2022.10.20@继续更新了一点 2022.10.26@添加了LDM 2023.05.06@修改了一处公式错误
(Song)Consistency Model 论文阅读
2023.05.23@更加细致的读了一下 2023.05.26@修改了一处公式错误
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery 论文阅读
可惜 无代码
(CVPR2023) DiffusionRig: Learning Personalized Priors for Facial Appearance Editing 论文阅读
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation 论文阅读
(CVPR2023)Ambiguous Medical Image Segmentation using Diffusion Models 论文阅读
(CVPR2023-FEDER)Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction 论文阅读
(CVPR2023-DGM)Detecting and Grounding Multi-Modal Media Manipulation 论文阅读
新的 Baseline 就是新的方向可以做 还是多模态的