Some MOE of Image Classification
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision 论文阅读
ARE GAN GENERATED IMAGES EASY TO DETECT? A CRITICAL ANALYSIS OF THE STATE-OF-THE-ART 论文阅读
【V-MoE】论文学习笔记
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ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic 论文阅读
【深度】动态神经网络综述
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DM检测论文阅读
Derivation of formulas in Score-Based Models
(CVPR2023)DCFace: Synthetic Face Generation with Dual Condition Diffusion Model 论文阅读
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models 论文阅读
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
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(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