题目:DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation 名称:DifFUSER:3D目标检测和BEV分割中鲁棒多传感器融合的扩散模型 论文:arxiv.org/abs/2404.0462 代码: 单位:蒙纳士大学、湖南大学 DiffYOLO 题目:DiffYOLO: Object Detection for Anti-Noise via YOLO an...
【NVIDIA 扩散模型促进全景分割】Open-Vocabulary Panoptic Segmentation with Diffusion Model 14:51 【ICLR 2023】Image as Set of Points.计算机视觉新范式,利用聚类的思想实现图像建模。在多个下游任务上不输ViT和ConvNets 16:08 【多模态学习 BLIP2的前世与今生】ALBEF, BLIP和BLIP2全系列工作串讲 21:53 ...
原文传送Stochastic Segmentation with Conditional Categorical Diffusion Models 一、贡献与方法 1.贡献 对diffusion model的采样过程进行改进,以适应分类型(categorical)数据; 相比于一般的分割模型给出一个固定的pred label, 基于DPMs的分割模型可以学习到标签(label)的分布,有利于捕捉到gernerated label的不确定性;可以...
34、Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model 基于参考的超分辨率(RefSR)有潜力在遥感图像的空间和时间分辨率之间建立桥梁。然而,现有的 RefSR 方法受到内容重建的忠实度和大比例因子下纹理传输的有效性的限制。 条件...
DiffusionInst is the first work of diffusion model for instance segmentation.We hope our work could serve as a simple yet effective baseline, which could inspire designing more efficient diffusion frameworks for challenging discriminative tasks.
[NeRF进展,编辑方向] 三星多伦多AI中心,多伦多大学,约克大学等:SPIn-NeRF,可快快速完成3D Segmentation和Inpainting任务 04:00 [NeRF+Diffusion进展,少量输入重建] CMU提出SparseFusion,在最少两个输入视角情况下,可以完成3D一致性高的高质量重建 06:03 [NeRF进展,渲染质量提升] Google NeRF的几位创始人:Zip-NeRF,...
008 (2023-11-29) AnyLens A Generative Diffusion Model with Any Rendering Lens https://arxiv.org/pdf/2311.17609.pdf 009 (2023-11-29) Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning https://arxiv.org/pdf/2311.17536.pdf ...
论文：HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation（https://arxiv....
009 (2024-06-4) Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models https://arxiv.org/pdf/2406.02653.pdf 010 (2024-06-4) Guiding a Diffusion Model with a Bad Version of Itself https://arxiv.org/pdf/2406.02507.pdf ...
DiffusionInst: Diffusion Model for Instance Segmentation DiffusionInst is the first work of diffusion model for instance segmentation.We hope our work could serve as a simple yet effective baseline, which could inspire designing more efficient diffusion frameworks for challenging discriminative tasks. ...