Deep Learning in Gaming and Animations

Auteur

Vikas Chaudhary, Deevyankar Agarwal

Texte du rabat

The text discusses the core concepts and principles of deep learning in gaming and animation with applications in a single volume. It will be a useful reference text for graduate students, and professionals in diverse areas such as electrical engineering, electronics and communication engineering, computer science, gaming and animation.

Contenu

Chapter 1 Checkers-AI

Priyanshi Gupta , Vividha and Preeti Nagrath

Chapter 2 The Future of Automatically Generated Animation with AI

Preety Khatri

Chapter 3 Artificial Intelligence as Futuristic Approach for Narrative Gaming

Toka Haroun, Vikas Rao Naidu, and Aparna Agarwal

Chapter 4 Review on Using Artificial Intelligence Related Deep Learning Techniques in Gaming and Recent Networks

Mujahid Tabassum, Sundresan Perumal, Hadi Nabipour Afrouzi, Saad Bin Abdul Kashem, and Waqar Hassan

Chapter 5 A Review on Deep Learning Algorithms for Image Processing in Gaming and Animations

Sugandha Chakraverti, Ashish Kumar Chakraverti, Piyush Bhushan Singh, and Rakesh Ranjan

Chapter 6 Artificial Intelligence in Games

Abhisht Joshi, Moolchand Sharma, and Jafar Al Zubi

Chapter 7 A Framework for Estimation of Generative Models Through an Adversarial Process for Production of Animated Gaming Characters

Saad Bin Khalid and Bramah Hazela

Chapter 8 Generative Adversarial Networks Based PCG for Games

Nimisha Mittal, Priyanjali Pratap Singh, and Prerna Sharma