Zhaoyi-Yan
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A Top-Down Approach for Image Vectorization
PyTorch code and checkpoints release for OFA-KD: https://arxiv.org/abs/2310.19444
A series of large language models developed by Baichuan Intelligent Technology
🤖 可 DIY 的 多模态 AI 聊天机器人 | 🚀 快速接入 微信、 QQ、Telegram、等聊天平台 | 🦈支持DeepSeek、Grok、Claude、Ollama、Gemini、OpenAI | 工作流系统、网页搜索、AI画图、人设调教、虚拟女仆、语音对话 |
Erasing Concepts from Diffusion Models
CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"
High-Resolution Image Synthesis with Latent Diffusion Models
[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
[ICLR2022] official implementation of UniFormer
Towards Learning Multi-domain Crowd Counting (T-CSVT, 2021), https://ieeexplore.ieee.org/document/9658506
(WACV 2021) Hyperrealistic Image Inpainting with Hypergraphs
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Taming Transformers for High-Resolution Image Synthesis
Implementation for "Completely Self-Supervised Crowd Counting via Distribution Matching" (http://arxiv.org/abs/2009.06420)
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
SOTA Re-identification Methods and Toolbox
[Prototype] Tools for the concurrent manipulation of variably sized Tensors.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A New Optimization Technique for Deep Neural Networks
[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network