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MySQL/MariaDB database management for macOS
Typora plugin. Feature enhancement tool | Typora 插件,功能增强工具
🚀🚀🚀A faster, better and more stable Redis desktop manager [GUI client], compatible with Linux, Windows, Mac.
⛱️ An efficient Hook API and Xposed Module solution built in Kotlin.
【Chrome/Edge插件】基于JavaScript+BootStrap实现哔哩哔哩分集视频的区间内总时长计算
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
Easy NeRF synthetic dataset creation within Blender
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
A curated list of awesome scene representation(NeRFs) papers, code, and resources.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
[CSUR 2023] A Survey on Deep Generative 3D-aware Image Synthesis
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Stable Diffusion web UI
A latent text-to-image diffusion model
ICCV2023, NeRDF: Efficient View Synthesis with Neural Radiance Distribution Field
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
pix2pix3D: Generating 3D Objects from 2D User Inputs
xiaopeng-liao / Pytorch-UNet
Forked from milesial/Pytorch-UNetPytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
[CVPR 2021] Multi-Modal-CelebA-HQ: A Large-Scale Text-Driven Face Generation and Understanding Dataset
(CVPR 2023) CelebV-Text: A Large-Scale Facial Text-Video Dataset
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
This is a implementation of the 3D FLAME model in PyTorch