Television has become more visually ambitious than ever. Shows that once would have needed enormous movie-sized budgets now regularly feature massive fantasy worlds, futuristic cities, elaborate creatures, digital environments, and action sequences that would have been difficult to imagine on TV a few decades ago.<\/p>\n\n\n\n
A big reason for that change has been the steady improvement of computer-generated imagery. Now another technology is beginning to influence the process: artificial intelligence.<\/p>\n\n\n\n
AI is not suddenly creating entire television shows at the push of a button, but it is beginning to assist visual-effects teams with some of the repetitive and time-consuming work involved in producing CGI. That could eventually make ambitious effects faster and more affordable, especially for television productions working on tight schedules.<\/p>\n\n\n\n
Visual effects often involve much more than creating giant monsters or exploding spaceships.<\/p>\n\n\n\n
A surprising amount of VFX work consists of small tasks that viewers never notice. Artists may need to remove wires, separate actors from backgrounds, track moving objects, clean up individual frames, replace skies, or adjust elements throughout hundreds of shots.<\/p>\n\n\n\n
Many of these jobs require artists to make extremely precise changes frame by frame.<\/p>\n\n\n\n
AI-powered tools can automate portions of that process.<\/p>\n\n\n\n
For example, software can become better at recognizing a person or object throughout a sequence and separating it from the background. It may also help track movement automatically or identify areas of a shot that need to be altered.<\/p>\n\n\n\n
The final result still needs to be reviewed by experienced artists, but reducing repetitive manual work could save production teams a significant amount of time.<\/p>\n\n\n\n
One of the more obvious uses of generative AI is creating or extending environments.<\/p>\n\n\n\n
Television productions already rely heavily on digital backgrounds, green screens, virtual sets, and computer-generated scenery. A fantasy drama might need a huge castle in the distance. A science-fiction show might need an entire futuristic skyline.<\/p>\n\n\n\n
AI could make it easier to quickly generate early versions of those environments.<\/p>\n\n\n\n
An artist might create several different concepts for a city, landscape, or interior within minutes and then use those images as a starting point for more detailed work.<\/p>\n\n\n\n
This does not necessarily mean an AI-generated image simply gets dropped directly into the final episode. Professional television effects need consistency, precise lighting, believable perspective, and compatibility with moving cameras.<\/p>\n\n\n\n
AI can accelerate the early stages, but artists still have to make everything look like it belongs in the scene.<\/p>\n\n\n\n
AI could also improve digital characters.<\/p>\n\n\n\n
CGI characters traditionally require complicated animation, facial modeling, motion capture, and enormous amounts of manual adjustment. Machine learning can help software understand how faces, bodies, clothing, and other objects move.<\/p>\n\n\n\n
That could make it easier to produce realistic facial expressions or clean up motion-capture performances.<\/p>\n\n\n\n
It may also make digital doubles more useful.<\/p>\n\n\n\n
A production might create a digital version of an actor for a stunt that would be dangerous or impossible to film normally. AI-assisted tools could help improve the way that digital character moves and blends with the real footage.<\/p>\n\n\n\n
The technology is likely to be especially valuable in scenes where the digital version appears only briefly.<\/p>\n\n\n\n
Television production operates differently from blockbuster filmmaking.<\/p>\n\n\n\n
A major movie may spend years in development and post-production. A television series often has to produce many hours of content while meeting strict episode schedules.<\/p>\n\n\n\n
That makes efficiency extremely important.<\/p>\n\n\n\n
If AI can reduce the amount of time required to complete certain visual-effects tasks, producers could potentially use CGI in situations where it previously would have been too expensive.<\/p>\n\n\n\n
Smaller shows could create more ambitious environments. Fantasy and science-fiction series might be able to show locations that previously existed mostly off-screen. Even ordinary dramas could use subtle digital effects to modify locations or correct production problems.<\/p>\n\n\n\n
AI may not necessarily reduce the amount of visual-effects work being done. It could simply allow television shows to attempt more of it.<\/p>\n\n\n\n
As AI becomes part of more creative industries, audiences are also becoming curious about how content was produced.<\/p>\n\n\n\n
Online, people already use tools that let them check AI<\/a> when they want to analyze whether written material may have been generated with artificial intelligence.<\/p>\n\n\n\n Television could eventually face similar questions.<\/p>\n\n\n\n Was a background created by a traditional digital artist or generated with AI assistance? Was a crowd digitally produced? Was an actor’s face modified? Did software automatically create part of an environment?<\/p>\n\n\n\n In many cases, viewers may never know.<\/p>\n\n\n\n That may actually be the best indication that the technology is working. Visual effects are usually most successful when audiences stop thinking about the effect and simply accept what they are seeing.<\/p>\n\n\n\n It is tempting to look at AI and assume it will eventually replace entire visual-effects departments.<\/p>\n\n\n\n The reality is likely to be more complicated.<\/p>\n\n\n\n AI can generate possibilities and automate repetitive steps, but television production involves constant creative decisions. Someone still needs to decide how a creature should look, how a fantasy city should feel, whether a digital effect fits the lighting of a scene, and whether the final shot supports the story.<\/p>\n\n\n\n Those decisions require judgment.<\/p>\n\n\n\n In many cases, AI may simply become another tool inside the visual-effects pipeline, similar to previous advances in digital compositing, motion capture, and virtual production.<\/p>\n\n\n\n The biggest impact of AI on television CGI may ultimately happen behind the scenes.<\/p>\n\n\n\n Viewers probably will not watch an episode and think about which frames were assisted by machine learning. They will simply notice that shows are able to create bigger worlds, more convincing effects, and increasingly cinematic visuals.<\/p>\n\n\n\n That is usually how production technology evolves.<\/p>\n\n\n\n The tools become more powerful while becoming less visible to the audience.<\/p>\n\n\n\n AI may eventually become a routine part of television CGI, helping artists complete complicated work faster while giving producers more options for what can appear on screen.<\/p>\n\n\n\n If that happens, the most interesting result will not be AI-generated television.<\/p>\n\n\n\n It will be television that can show us things that previously would have been too difficult, too expensive, or simply impossible to create.<\/p>\n","protected":false},"excerpt":{"rendered":" Television has become more visually ambitious than ever. Shows that once would have needed enormous movie-sized budgets now regularly feature massive fantasy worlds, futuristic cities, elaborate creatures, digital environments, and action sequences that would have been difficult to imagine on TV a few decades ago. A big reason for that change has been the steady… Continue reading How AI Is Starting to Change CGI in Television<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/posts\/64"}],"collection":[{"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/comments?post=64"}],"version-history":[{"count":1,"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/posts\/64\/revisions"}],"predecessor-version":[{"id":65,"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/posts\/64\/revisions\/65"}],"wp:attachment":[{"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/media?parent=64"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/categories?post=64"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/premieredate.news\/ptv\/wp-json\/wp\/v2\/tags?post=64"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}CGI Artists Are Unlikely to Disappear<\/strong><\/h2>\n\n\n\n
The Effects May Get Bigger While the AI Becomes Invisible<\/strong><\/h2>\n\n\n\n