OpenAI’s 2024 technical white paper reports that the image to video ai tool is able to convert a single 2K resolution image into a 5-second 1080p video (24fps) in 3.2 seconds on average. Classical film and television rendering requires at least 12 hours to perform similar tasks (Pixar RenderMan benchmark test data). For instance, the batch generation is supported by Runway ML’s Gen-2 model of ai video generator. It processes 100 images in merely 8 minutes. Its efficiency is 300 times higher than manual editing, and hardware cost is reduced by 92% (cloud GPU cost is around $0.12 per minute). Rendering cost in regular workstations is 50 US dollars per hour. In business applications, there are such technologies used by Netflix, which bring down the time of production by a single episode from six weeks to three days and reduce labor costs by 85% (quoted from the 2023 Netflix Technology Summit).
However, making movie-quality videos remains technologically limited. A study conducted by MIT Media Lab in 2024 shows that when the image to video ai creates 4K resolution, 60fps high dynamic range (HDR) videos, the maximum memory usage rate reaches 24GB, resulting in a 40% crash rate (the NVIDIA A100 graphics cards’ maximum memory limit is 80GB). For instance, in the movie “Dune 2,” AI-generated desert particle special effects must undergo 35% of the frame sequence manually corrected. This is because the current model has a motion coherence error of Δ≥8% (industry standard Δ≤3%) in multi-layer composite scenes with a flow rate greater than 1.2GB per second. Furthermore, color fidelity of the ai video generator is a far cry when there is not enough light: SONY CineAlta test reveals that output by the AI BT.2020 color gamut coverage rate is 78%, while ARRI Alexa 35 camera’s native color fidelity is 99.3% (Data source:) The SIGGRAPH Annual Conference on Computer Graphics 2024.
The market application has been explosive in possibility. According to Statista, 67% of short-video advertisements worldwide in 2024 will use the original version designed by image to video ai. Time of production will be reduced from 72 hours to 45 minutes on average, and customer budgets will be saved 74%. For instance, Coca-Cola’s AI-based ad introduced in collaboration with Synthesia takes just 19 minutes to create a 20-second product and 2 hours of human optimisation, 15 times quicker than the traditional method (the case is cited from the December 2023 issue of Advertising Age). On the hardware front, with AI frame insertion integrated into Blackmagic Design’s DaVinci Neural Engine, 8K video rendering speeds in real-time become 12fps (compared to 2fps in the old process) while power efficiency reduces by 55% (test data illustrated in Puget Systems’ report of 2024).
The technical straitjacket is being overcome fast enough. In 2024, Google DeepMind unveiled the Lumiere model, capable of generating a 120-second 2K video directly with only a 2.1% motion blur error rate (previous model average error rate was 18.7%). Within film and TV industry scenarios where everything is industrialized, Disney’s test and experimental department attested that image to video ai shortens the special effects shot iteration cycle from 22 days down to 8 hours, although it demands 30% human keyframe calibration (source of data: Variety’s report back in March of 2024). In the next three years, on the integration of diffusion models and physics engines, ai video generator is bound to have a breakthrough in 480fps ultra-high-speed photography. The time taken to create a minute of 8K video can be reduced to as little as 9 minutes (projected based on IDC’s 2025 AI Film and TV market study), from 53 minutes that it is currently taking.