OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Updated
Jun 8, 2024 - C++
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
App showcasing multiple real-time diffusion models pipelines with Diffusers
Repo for all the SRIP 2024 work at CVIG Lab IITGN under Prof. Shanmuganathan Raman
A one-stop library to standardize the inference and evaluation of all the conditional image generation models. (ICLR 2024)
Automated Parallelization System and Infrastructure for Multiple Ecosystems
[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”
Official implementation of the paper “MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes”
🟠 Generate 3D models using Gradio API directly from Blender
Python library for solving reinforcement learning (RL) problems using generative models.
This implementation is based on the paper titled "Conditional Text Image Generation with Diffusion Models," which can be found at arXiv:2306.10804v1.
Repo for the paper "SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People"
collection of diffusion model papers categorized by their subareas
Official implementation of ⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
A collection of resources on controllable generation with text-to-image diffusion models.
✌ CLoG: Benchmarking Continual Learning of Image Generation Models
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Official Code Release for [SIGGRAPH 2024] DilightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
This repository is used to collect papers and code in the field of AI.
Lumina-T2X is a unified framework for Text to Any Modality Generation
Blue noise for diffusion models [SIGGRAPH 2024]
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