wang21jun
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Official inference repo for FLUX.1 models
pytorch structural similarity (SSIM) loss
A curated list of papers, code, and resources pertaining to generative image composition or object insertion.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
A generative speech model for daily dialogue.
An "annotated" version of the Transformer Paper in the form of a line-by-line implementation to build an English-to-Chinese translator.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
The summary of code and paper for salient object detection with deep learning.
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Transparent Image Layer Diffusion using Latent Transparency
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
