[CVPR 2024 Highlight] Official repository for paper "SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction"
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Updated
Jun 12, 2024 - Python
[CVPR 2024 Highlight] Official repository for paper "SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction"
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.
Python library for solving reinforcement learning (RL) problems using generative models.
This repository contains tasks focusing on prompt engineering for vision models. Each task explores different aspects of image segmentation, object detection, and image generation using advanced machine learning models. Below are detailed descriptions of the tasks and their respective notebooks.
collection of diffusion model papers categorized by their subareas
PyTorch library for solving imaging inverse problems using deep learning
[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”
Automated Detection of Military Vehicles from Video Input
OneDiff: An out-of-the-box acceleration library for diffusion models.
LLMTechSite, 专注于通用人工智能领域的技术生态。
The official code implementation of "LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis".
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
Specific scripts and practical applications for preliminary data collection, data cleaning, denoising, and data segmentation of diffusion models in the image field
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
A C++ implementation of a diffusion model using libtorch.
This implementation is based on the paper titled "Conditional Text Image Generation with Diffusion Models," which can be found at arXiv:2306.10804v1.
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