AI Pipeline Solves Cross - shot Consistency Issues in Brand Promotional Videos

In the current digital age, the demand for brand promotional video production is increasing, and the requirements for quality and efficiency are also getting higher. WeLinkirt brings a new solution to brand promotional video production with advanced AI technology.

User scenario: A brand plans to produce a 3-minute brand promotional video for promoting its brand image on major platforms. The promotional video needs to present rich scenes and diverse elements, including brand product display and brand concept communication. The production requirement is to shorten the production cycle and reduce the production cost as much as possible while ensuring high quality.

Pain points: In the traditional production process, the brand faced many difficulties. The characters in different shots were prone to 'face-changing' phenomena, and the scene coherence was poor, resulting in a poor viewing experience for the audience. The production cycle was as long as 15 days, and the cost was high, with the cost per minute of the finished film being about ¥1000. In the process of multi-person collaboration, the communication efficiency was low, and the manuscript revision was repeated, seriously affecting the production progress.

Technical principle

WeLinkirt solves the above problems through the Wemio Physical AI Content Engine and the DaoAI World Model. The Wemio Physical AI Content Engine introduces three-dimensional and physical constraints into video generation, which means that all elements in the video production process follow physical laws. For example, the lighting effect is realistically simulated according to the physical environment of the scene, and the change of lighting under multi-angle shooting conforms to the actual physical situation, without sudden or inconsistent lighting problems. The DaoAI World Model, as a unified base, has the ability to understand semantics and three-dimensional space. It can conduct accurate semantic analysis and three-dimensional space positioning of the entire video scene and characters, thus ensuring the consistency of characters and scenes across shots. When a character appears in different shots, the model will lock its features to ensure that there are no deviations in its appearance and actions, and thousands of shots can be connected without collapse.

• Three - dimensional and physical constraints make the lighting effect more real and the spatial relationship stable, enhancing the realism and coherence of the video.
• The ability to understand semantics and three-dimensional space allows the model to accurately identify characters and scenes, avoiding inconsistencies across shots.
• Through the management of the unified base, precise control of the entire video production process is achieved, improving production efficiency and quality.

WeLinkirt solution and product introduction

WeLinkirt adopts an intelligent agent pipeline from screenwriting to storyboarding, film production, and editing. In the screenwriting stage, the intelligent agent generates a suitable script according to the brand's needs; in the storyboarding stage, the intelligent agent transforms the script into specific storyboard pictures, while locking characters, scenes, and costumes to ensure cross-shot consistency. In the film production stage, the Wemio Physical AI Content Engine and the DaoAI World Model are used to quickly generate high-quality video clips. In the editing stage, the intelligent agent efficiently edits the video to further optimize the video effect. In addition, in terms of team collaboration, it supports real-time multi-person collaboration, sharing of the points pool, and one-click recovery of the permissions of departing employees, realizing project transfer and data retention, which improves the efficiency and data security of team collaboration.

The AI intelligent agent pipeline makes brand promotional video production more efficient and consistent.

Quantitative results: After using the WeLinkirt solution, the production cycle was shortened from 15 days to 3 days, and the overall film production speed increased by 5×. The cost per minute of the finished film was reduced to about ¥650, with a cost reduction of -35%. The monthly points consumption was saved by -50%, effectively reducing the production cost.