VSCode上用debugpy搭配time调试DDP程序 VSCode上用debugpy搭配time调试DDP程序由于不少任务并不是通过python直接启动的,尤其是使用slurm等方式调度的集群,由于机卡分离,难以直接从vscode启动调试;DDP由于其多进程的特性,调试起来也十分麻烦。debugpy与time搭配使用算是这种条件下一个不错的调试方案。 launch.json基本配置 1234567891011121314151617181920212 2023-09-30 Others #VS Code
VSCode 自定义背景 VSCode 自定义背景打开 workbench.desktop.main.css, 加入以下内容 1234567body{ background-image: url(${PATH_TO_YOUT_BACKGROUND}); /* 背景图片路径 */ background-repeat: no-repeat; background-position 2023-09-19 Others #VS Code
LoRA:Low-Rank Adaptation of LLMs Abstract An important paradigm of natural language processing consists of large-scale pre-training on general domain data and adaptation to particular tasks or domains. As we pre-train larger models, 2023-09-17 Papers #Deep Learning
利用移动硬盘作为MacBook的系统盘 利用移动硬盘作为MacBook的系统盘动机ROM是可以替换的,RAM是不可或缺的。 对macbook而言,在同样要多花不少钱的情况下,升级RAM显然比升级ROM性价比要高——毕竟ROM不足可以用移动硬盘解决,但移动硬盘也只能作为U盘一类的东西存贮文件,有些软件(比如AE)的缓存会占用系统不少空间,把这些文件夹放在移动硬盘内可能会导致软件找不到路径,在系统盘大小不够的情况下,将移动硬盘作为外置系统盘 2023-09-04 Others #macOS
Zero-1-to-3:Zero-shot One Image to 3D Object Abstract We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an object given just a single RGB image. To perform novel view synthesis in this under-constrained setting, we capit 2023-08-24 Papers #AIGC #Computer Vision
NeuralField-LDM Abstract Automatically generating high-quality real world 3D scenes is of enormous interest for applications such as virtual reality and robotics simulation. Towards this goal, we introduce NeuralFiel 2023-08-19 Papers #AIGC #Computer Vision
ATISS:Autoregressive Transformers for Indoor Scene Synthesis Abstract The ability to synthesize realistic and diverse indoor furniture layouts automatically or based on partial input, unlocks many applications, from better interactive 3D tools to data synthesis 2023-08-19 Papers #AIGC #Computer Vision
SDFusion Abstract In this work, we present a novel framework built to simplify 3D asset generation for amateur users. To enable interactive generation, our method supports a variety of input modalities that ca 2023-08-15 Papers #AIGC #Computer Vision
DreamFusion Motivation Applying diffusion models to other modalities has been successful, but requires large amounts of modality-specific training data. 3D assetsare currently designed by hand in modeling softwar 2023-08-14 Papers #AIGC #Computer Vision
Neural Radiance Fields 3D Shape RepresentationsExplicit RepresentationThe description of a scene is explicit, and the 3D representation of the scene can be seen directly, such as mesh, point cloud, voxel and volume which ca 2023-08-11 Papers #AIGC #Computer Vision #Neural Radiance Fields