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Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
Simple code demos about classic AIGC models/Compilation of blogs and papers on classic AIGC models.
A set of tools to visualize and interact with sequences of 3D data.
🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
Visualization code for SMPL body model Family
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
ScoreHMR: Score-Guided Diffusion for 3D Human Recovery (CVPR 2024)
Synthesizing and manipulating 2048x1024 images with conditional GANs
Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and featu…
[NeurIPS 2023] Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
Image-to-Image Translation in PyTorch
💬 An extensive collection of exceptional resources dedicated to the captivating world of talking face synthesis! ⭐ If you find this repo useful, please give it a star! 🤩
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
[IJCV 2024] InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions
The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
VMamba: Visual State Space Models,code is based on mamba
Official implementation of SAM-Med2D
Medical Image Segmentation with Diffusion Model
Release for Improved Denoising Diffusion Probabilistic Models
High-Resolution Image Synthesis with Latent Diffusion Models
Quizz App Using Custom Diffusion Model to create deep fake of Satelite Earth image
This project explores the opportunities of deep learning for camera control in virtual cinematography.