This article introduces a new head fusion pipeline called CHANGER, which aims to provide high-fidelity head synthesis solutions for digital content creation, especially in the fields of visual effects, digital human creation and virtual avatars. . CHANGER effectively solves the existing head fusion technology by decoupling background integration and combining color key technology with head shape and long hair enhancement technology (H2 enhancement), as well as the foreground prediction attention converter (FPAT) module. The problems of unnatural synthetic boundaries and fusion artifacts in the existence of the present invention achieve seamless integration of the reference head and the target body.
Recently, the research team proposed a new head fusion pipeline called CHANGER, aiming to provide high-fidelity head synthesis solutions for digital content creation. This technology is particularly important in industrial applications, especially in areas such as visual effects (VFX), digital human creation and virtual avatars.
The main challenge of head fusion is the difference in head shape and hairstyle structure, which often leads to unnatural synthetic boundaries and the appearance of fusion artifacts. Existing methods often treat the foreground and background as a single task, resulting in unsatisfactory fusion effects.
CHANGER decouples background integration and foreground integration, and achieves seamless integration between the reference head and the target body, which is very good for the body. The pipe uses chromatic key technology to enable artifact-free background generation and introduces head shape and long hair enhancement (H2 enhancement) technology to simulate various head shapes and hairstyles. This approach not only improves adaptability to diverse real-life scenarios, but also enhances prediction and focus on key areas of the head and body through the Prospect Prediction Attention Transformer (FPAT) module.
Research shows that the quantitative and qualitative evaluation results of CHANGER on the benchmark data set exceed the existing state-of-the-art technology and provide high-fidelity, industrial-grade synthetic results. To better demonstrate this technology, the research team successfully obtained video examples of high-fidelity head fusion in a real environment through the combination of chromatic bonding technology and the CHANGER pipeline.
The advantage of CHANGER lies in its efficiency and practicality of its processing process. First, by introducing chromatic bond technology, the background can be processed seamlessly, eliminating the artifact problem in background synthesis; secondly, the application of H2 enhancement technology enables the synthetic head to adapt to more diverse hairstyles and shapes; Finally, the design of the FPAT module ensures that the fusion effect of the foreground and background is more natural and smooth. The combination of these technologies allows CHANGER to show superior performance in various industrial applications.
Project entrance: https://hahminlew.github.io/changer/
Key points:
CHANGER is a new type of head fusion pipeline designed to solve head synthesis problems in digital content creation.
This technology achieves high-fidelity background and head fusion effect through color bonding technology and H2 enhancement.
Research shows that CHANGER has performed better than existing mainstream synthesis technologies and is suitable for a variety of industrial applications.
In short, CHANGER provides strong technical support for the field of digital content creation with its efficient processing flow and superior synthesis effects, and it has broad prospects for industrial applications. Project links are convenient for developers to further understand and apply the technology.