CARSTEN KOLVE, DIGITAL SUPERVISOR, IMAGE ENGINE
Three areas of development will make a significant impact on VFX/animation production in the new year.
Scene Graph Based Workflows: While in the past a lot of focus has been placed on standardizing file formats for specific use – cases like animated mesh caches, volumes, point clouds – we will see a more widespread adoption of workflows that deal with the complexities of a scene graph. While these workflows themselves are not new – tools like Katana or Gaffer have been giving TDs and artists these capabilities for many years – the release of USD and its support by both the standard DCC tools and facility-sponsored open-source projects will make a tangible difference in how and at what level data is exchanged between applications and vendors.
Machine Learning: The exponential rise of machine learning/neural networks over the last couple of years will increasingly have an impact on VFX/animation productions. While simple data-driven solutions have been used in VFX production for a while – for example, to control geometry deformations in rigs – more applications for this new, more powerful wave of technology are being found at a steady pace and making their way into production workflows. De-noising, increasingly accurate alpha-matting, rotoscoping, context-aware painting, simplified versions of complex shading effects, example-based facial animation and secondary deformations, 3D feature, object and pose-tracking are all areas where machine learning has already demonstrated the potential to speed up the ‘time to first presentable iteration.’ More of these techniques are making their way into the everyday toolset. It will be interesting to see the impact this will have on work that might today still be a candidate for outsourcing.
Big Data & Production Efficiency: As budget and time constraints become tighter, the need to be as efficient as possible, while at least maintaining the same quality standard, becomes an imperative. VFX and animation production generate a huge amount of data from a variety of sources: production tracking software, bidding, time-keeping and accounting systems, render farms, IT infrastructure and asset-management systems. These are rich sources of information that show a huge amount about how you spent your available human and machine resources. Just like ‘traditional’ businesses have already embraced using this data to gain production insights, so will the creative industries in order to optimize common processes. Using business intelligence and data-mining tools will be more commonplace to measure the performance of anything from ‘machine utilization,’ ‘rendering speed’ and ‘the time it takes for an update to make it through into a final image’ to ‘usable data generated during overtime’. These historical insights will help in more rational decision-making to validate past changes and investments, and they will help in predicting possible problems earlier.