The tremendous recent advances in generative artificial intelligence techniques have led to significant successes and promise in a wide range of different applications ranging from conversational agents and textual content generation to voice and visual synthesis. Amid the rise in generative AI and its increasing widespread adoption, there has been significant growing concern over the use of generative AI for malicious purposes ranging from disinformation creation to content forgery to cyberattack generation. However, despite the potential for negative socioeconomic impact, generative AI holds tremendous promise in improving the human condition in a large number of ways if created and deployed in a reponsible and trustworthy manner.
Motivated to tackle such challenges and pave the way for positive impact, we have launched GenAI4Good, a global open source initiative for accelerating machine learning for promoting responsible creation and deployment of generative AI for good. The sub-initiatives that are part of GenAI4Good will be listed and updated in this portal over time as the effort grows. GenAI4Good is a joint initiative with the COVID-Net initiative and the Cancer-Net initiative.
Podcast: Click here
Repo: Click here
Paper: Click here
Repo: Click here
Benchmark dataset: Click here
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping
Paper: Click here
Benchmark dataset: Click here
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
Paper: Click here
Benchmark dataset: Click here
NutritionVerse: Large-scale Dataset of Real and Synthetic Meal Data for Nutritional Intake Estimation
Paper: Click here
Benchmark dataset: Click here
Paper: Click here
Benchmark dataset: Click here
Paper: Click here
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Paper: Click here
Project Lead: Alexander Wong (a28wong@uwaterloo.ca)
- Hossein Aboutalebi
- Dayou Mao
- Carol Xu
- Amy Tai
- Saeejith Nair
- Yuhao Chen
- Matthew Keller
- Mattie Kerrigan
- Tanisha Nigam
- Komal Vachhani
- Jason Li
- Sriram Kumar
- Cosmo Zhao
- Linlin Xu
- Pengcheng Xi
- Ashkay Ebadi
- Krish Parmar
- Sirisha Rambhatla
- Mohammad Basri
- Helen Chen
Partners:
