Join us at SPARK FX this year for the AI IN VFX stream, where we dive into the different ways that Artificial Intelligence (AI) can be used in the VFX industry. This stream will showcase various phases of the production pipeline which includes how AI can be used to improve the workflow of artists and filmmakers, to allow them to produce higher quality content in a faster/cost-effective way and remain competitive in an ever changing market.
Examples of topics include the use of AI as a tool to help artists with photo-realistic human face generation and control, cloth simulations, character rigging and animation, augmented reality VFX, and even asking the AI itself to be creative.
Included in this stream:
- AI in Real-Time Humans for Games & Film
- Deep Body IK & Machine Learning for Rigging & Animation
- Real-Time Data-Driven Character Clothing
- AI, AR, & FX: The Kayfabe Life
- Creative Artificial Intelligence & Movie Making: The Artist in the Loop
Ideal for beginner riggers and technical artists looking to harness Machine Learning for Rigging and Animation tools. John-Mark shares his expertise on Deep Body IK System while working at Digital Domain. Learn the core concepts against the backdrop of the Deep Body IK, a human IK system trained using motion capture.
SPEAKER BIOGRAPHY
John-Mark Gibbons
Animation & Rigging TD // Digital Domain
(The Mandalorian, Aladdin, Thor: Ragnarok, Valerian)
John-Mark Gibbons started out in Creature FX and Rigging after completing the Animation and Visual Effects course at the Vancouver Film School. JM worked at MPC, Rainmaker Entertainment, ILM, and Hybride in this capacity on a number of notable projects including The Mandalorian, Aladdin, Thor: Ragnarok, The Mummy, and Valerian.
He transitioned out of his Senior Rigging Artist role in 2019, to pursue his passion for development. JM currently works at Digital Domain as an Animation and Rigging TD, where he builds and maintains various tools for the rigging and animation teams.
In the past couple years, JM has been exploring Machine Learning and its untapped potential for rigging and animation.
Join us at SPARK FX this year for the AI IN VFX stream, where we dive into the different ways that Artificial Intelligence (AI) can be used in the VFX industry. This stream will showcase various phases of the production pipeline which includes how AI can be used to improve the workflow of artists and filmmakers, to allow them to produce higher quality content in a faster/cost-effective way and remain competitive in an ever changing market.
Examples of topics include the use of AI as a tool to help artists with photo-realistic human face generation and control, cloth simulations, character rigging and animation, augmented reality VFX, and even asking the AI itself to be creative.
Included in this stream:
- AI in Real-Time Humans for Games & Film
- Deep Body IK & Machine Learning for Rigging & Animation
- Real-Time Data-Driven Character Clothing
- AI, AR, & FX: The Kayfabe Life
- Creative Artificial Intelligence & Movie Making: The Artist in the Loop
Ideal for beginner riggers and technical artists looking to harness Machine Learning for Rigging and Animation tools. John-Mark shares his expertise on Deep Body IK System while working at Digital Domain. Learn the core concepts against the backdrop of the Deep Body IK, a human IK system trained using motion capture.
SPEAKER BIOGRAPHY
John-Mark Gibbons
Animation & Rigging TD // Digital Domain
(The Mandalorian, Aladdin, Thor: Ragnarok, Valerian)
John-Mark Gibbons started out in Creature FX and Rigging after completing the Animation and Visual Effects course at the Vancouver Film School. JM worked at MPC, Rainmaker Entertainment, ILM, and Hybride in this capacity on a number of notable projects including The Mandalorian, Aladdin, Thor: Ragnarok, The Mummy, and Valerian.
He transitioned out of his Senior Rigging Artist role in 2019, to pursue his passion for development. JM currently works at Digital Domain as an Animation and Rigging TD, where he builds and maintains various tools for the rigging and animation teams.
In the past couple years, JM has been exploring Machine Learning and its untapped potential for rigging and animation.
