Lingbo Yang's repositories
awesome-clothed-human
A collection of awesome resources clothed people including human digitalization, virtual try-on, and other related directions.
Awesome-CLIP
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
awesome-data-labeling
A curated list of awesome data labeling tools
Awesome-Incremental-Learning
Awesome Incremental Learning
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
lotayou.github.io
My homepage
MeshGraphormer
Research code of ICCV 2021 paper "Mesh Graphormer"
ML_Decoder
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)
motion-latent-diffusion
(CVPR 2023) Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model
NUWA
A unified 3D Transformer Pipeline for visual synthesis
OFA
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-nicp
GPU Accelerated Non-rigid ICP for surface registration
StyleGAN-Human
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
texture-synthesis
🎨 Example-based texture synthesis written in Rust 🦀
TEXTurePaper
Official Implementation for "TEXTure: Semantic Texture Transfer using Text Tokens"
yolov7
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥