CVPR 2024 共收到 11532 篇有效论文(同比2023年增长26%),有2,719篇论文被接受,总体接受率为23.6%,90篇(3.3%)论文被选为 oral talks(优秀论文),324篇(11.9%)的论文因其高质量和潜在影响而被审计委员会选为“highlights”。 以下是24 篇有资格角逐今年最佳论文(Best Paper)的工作,快来选出你觉得最有可能成...
大家好,这里是减论为您带来的5分钟极减阅读CVPR24 best paper《Generative Image Dynamics》,生成式图像动态。 CVPR今年2篇best paper都给了图像生成模型,可见社区对生产式模型的关注度还是空前高涨的。这篇文章《Generative Image Dynamics》GID重点解决的是某种特定类型的动态视频的生成:图像全局的自然摇曳,例如下图中...
CVPR 2024 Best Student Paper Paper|arXiv|Project Page|Online Viewer We introduce a 3D smoothing filter and a 2D Mip filter for 3D Gaussian Splatting (3DGS), eliminating multiple artifacts and achieving alias-free renderings. Update We integrated an improved densification metric proposed inGaussian ...
Release pre-trained unified models in the paper and the inference demo code. MASA is a universal instance appearance model that can be added atop of any detection and segmentation models to help them track any objects they have detected. However, there are still some limitations: ...
the performance in over-parameterized models such as deep neural networks is lacking. in this paper, we first revisit the widely used fedavg algorithm in a deep neural network to understand how data heterogeneity influences the gradient updates a...
*Hidenobu Matsuki·*Riku Murai·Paul H.J. Kelly·Andrew J. Davison (* Equal Contribution) CVPR 2024 (Highlight) Paper|Video|Project Page This software implements dense SLAM system presented in our paperGaussian Splatting SLAMin CVPR'24. The method demonstrates the first monocular SLAM solely ba...
This is the repository for the BioCLIP model and the TreeOfLife-10M dataset [CVPR'24 Oral, Best Student Paper]. - Imageomics/bioclip
CVPR'24, Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation". - sail-sg/CLoT
This is the official repository for our CVPR 2024 paperDNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. Paper|Project|Video Installation Tested on Ubuntu 18.04, CUDA 11.3, PyTorch 1.12.1
The reproducing performance is even better than the results reported in our paper.Example running scripts are as follows:# ptv2m2: PTv2 mode2, disable PEM & Grouped Linear, GPU memory cost < 24G (recommend) # ScanNet sh scripts/train.sh -g 4 -d scannet -c semseg-pt-v2m2-0-base -n...