Camera movement drift is the most common point of loss of control in AIGC commercials.
When producing brand content with generative video, camera movement drift manifests as jumping subject positions, background stretching and shrinking, uneven push and pull speeds, and rotation angle deviations. These issues are especially prominent in AIGC commercials and AI product videos because generative models have an unstable understanding of spatial relationships. When evaluating a project, brands must first determine whether the drift is acceptable before deciding to proceed with the production process.
There are three levels of judgment criteria. The first level is whether the subject remains in the same area of the frame, for example, the center point of the product packaging deviating by no more than five percent of the frame width. The second level is whether the background perspective is continuous, for example, wall lines should not bend or break across consecutive frames. The third level is whether the movement speed is linear, for example, the displacement per second of a push-in shot should remain constant. If two of these three levels fail to meet the standards, the shot must be redone or replaced.
The risk is that drift issues are easily overlooked during the preview phase, as small-scale playback obscures details. Brands must require the production team to provide frame-by-frame inspections at the original resolution, rather than just viewing compressed preview videos. Another risk is that drift may stem from imprecise prompt descriptions in the early stages, making post-production fixes extremely costly or even impossible.
An exception is that certain stylized commercials allow slight drift as an artistic effect, such as simulating handheld cinematography or a dreamlike atmosphere. However, brand product videos typically require stable footage, especially for shots showcasing product details. Therefore, it must be clearly defined during the project initiation phase which shots allow drift and which must be locked.
The control objectives for camera movement must be defined during the project initiation phase.
During project initiation, the brand needs to prepare a camera movement control checklist that includes the movement type, amplitude, speed, and allowable error for each shot. Movement types include push, pull, pan, tilt, track, crane, roll, and combined movements. Movement amplitude is described using frame proportions, such as pushing from a wide shot to a product close-up, where the subject's frame proportion changes from 20% to 80%. Movement speed is described in seconds, such as completing a push-in over three seconds. Allowable error is described in pixels or percentages, such as the subject's center deviating by no more than 10 pixels.
The production team must confirm three things during the project initiation phase. The first is to confirm whether the movement for each shot is necessary; if a static shot better showcases the product, movement should not be forced. The second is to confirm whether the movement trajectory is simple, as linear movements are easier to control than curved ones, which require more constraints. The third is to confirm the relationship between the movement and the narrative, such as using a push-in to emphasize a selling point, a pull-out to show the environment, and a pan to connect spaces.
Materials the brand needs to provide include high-definition product images, product orthographic views, scene reference images, examples of moving shots from competitor commercials, and requirements regarding image stability in the brand's visual guidelines. These materials help the production team understand the camera movement control objectives rather than relying on vague verbal descriptions.
The risk is that the brand may only provide product photos without providing the product's size and proportions in a real environment, causing the generative model to produce perspective errors during movement. Another risk is that the brand may require movement in all shots, but generative video has limited support for complex movements, and forcing it will result in severe drift. The production team should advise the brand to limit moving shots to within 30% of the total shot count, using static or micro-movement shots for the rest.
An exception is that if the brand requires a fully dynamic AIGC commercial, such as simulating a fly-through or product morphing, camera movement control will require more advanced tools and more time, with corresponding increases in budget and schedule. At this point, the brand should evaluate whether the investment is worthwhile or whether to adopt a hybrid approach combining live-action and generative video.
Lock the movement trajectory using prompts and reference images during the shooting phase.
During the shooting phase of generative video, the core tasks are writing prompts and preparing reference images. Prompts must include the movement type, direction, speed, subject position, background elements, and lighting changes. For example, a prompt for a push-in shot can be described as the camera slowly pushing in from the left side of the product, keeping the product in the center of the frame, with a blurred background and lighting transitioning evenly from the top right. The more specific the prompt, the lower the probability of drift.
The purpose of reference images is to provide spatial anchors. The brand must provide at least three reference images: a starting frame, a middle frame, and an ending frame. The starting frame defines the visual layout at the beginning of the motion, the middle frame defines the key positions during the motion, and the ending frame defines the visual layout at the end of the motion. The production team will input these reference images into the generative model as spatial constraints.
The production actions the team needs to confirm include setting a fixed random seed, using the same model version, disabling auto-enhancement features, and using ControlNet tools to lock the subject's position. These actions can reduce randomness during the generation process, thereby minimizing drift.
The risk is that motion descriptions in the prompt may be misunderstood by the model; for example, a push-in might be interpreted as zooming, resulting in a change in subject scale rather than camera movement. The production team needs to conduct multiple tests, changing only one variable at a time, such as fixing the motion direction first, then adjusting the speed, and finally adjusting the background. If drift occurs in three consecutive tests, that motion type should be abandoned in favor of a simpler motion.
An exception is that some generative models support motion brushes or trajectory drawing, allowing the brand to draw the motion path directly on the reference image. This method is more intuitive than text descriptions but requires the production team to have experience with the relevant tools. If the brand does not have such tools, it should request a motion trajectory diagram from the production team and confirm it before generation.
Use tracking and stabilization tools to fix drift in post-production.
Even with proper upfront control, AIGC commercials may still experience slight drift. Tracking and stabilization tools must be used in post-production to fix this. Tracking tools are used to analyze the subject's motion trajectory in the frame, while stabilization tools are used to lock the subject in the expected position. The brand needs to understand the capability limits of these tools to evaluate the repair results during acceptance.
The post-production repair process consists of four steps. The first step is to import the generated video and check the drift positions frame by frame. The second step is to select tracking points, typically on the subject's edges or fixed objects in the background. The third step is to generate motion trajectory data and analyze the drift pattern. The fourth step is to apply the stabilization effect to pull the subject back to the expected position. After repair, the video must be re-rendered and checked again.
The standard for evaluating the repair effect is that, at the original resolution, the subject's center offset does not exceed five pixels, the background perspective shows no obvious distortion, and the motion speed remains linear. If edge blurring or background distortion occurs after repair, it indicates over-correction, and the parameters need to be adjusted.
The risk is that post-production repair may introduce new artifacts, such as halos around the subject's edges or ripples in the background. The brand should require the production team to provide before-and-after comparison videos to evaluate whether the repair is worthwhile. Another risk is that the repair may alter the visual texture, causing it to deviate from the brand's visual guidelines. The brand should clearly specify the texture requirements after repair in the contract.
An exception is that if the drift occurs in shots with large motion amplitudes, such as rapid rotations or significant displacements, post-production repair may not fully restore it. In this case, the brand should accept a certain degree of drift or regenerate the shot. The production team should inform the brand in advance which shots are high-risk and suggest backup plans.
The acceptance checklist must cover every aspect of motion control.
When accepting an AIGC commercial, the brand must prepare a motion control acceptance checklist and verify it item by item. The checklist includes the following items, each requiring clear standards and recording methods.
- Motion type, verify whether the motion type of each shot matches the storyboard; for example, if the storyboard specifies a push-in, the final video must be a push-in and cannot become a pull-out.
- Motion amplitude, verify the subject's screen proportion between the starting and ending frames, with an error margin within five percent.
- Motion speed, verify whether the motion duration matches the storyboard, with an error margin within ten percent.
- Subject position, verify the offset of the subject's center across consecutive frames, which should not exceed ten pixels.
- Background perspective, verify that background lines and shapes remain stable during motion, without breaking or bending.
- Image quality, verify that the restored image aligns with brand visual standards, including sharpness, color, and noise levels.
- Audio and subtitles, verify that audio and subtitles are synchronized in moving shots, and that subtitle positions adjust with the camera movement.
Each acceptance item must be recorded as passed or failed, with reasons and repair plans provided for failed items. The brand should require the production team to provide an acceptance report containing screenshots and motion data for each shot to facilitate future traceability.
The risk is that the brand may only focus on the overall effect and ignore the motion details of individual shots. For example, in a three-second push-in shot, the subject may shift during the middle second, which is not easily noticeable when viewed as a whole. The brand should require the production team to provide a frame-by-frame playback version and designate a specific person to inspect every frame.
An exception is that if the brand requires rapid delivery, such as for social media short videos, motion control standards can be appropriately relaxed, but the subject must be preserved. In this case, the acceptance checklist can be simplified, but at a minimum, the subject's position and motion speed must be verified.
When generative video is not suitable for controlling camera movement
Generative video is not suitable for all brand projects. It is not recommended or requires careful evaluation in the following situations.
- Product detail display, if the product requires displaying precise dimensions, materials, or functions, such as jewelry, machinery, or medical devices, generative video may not guarantee accurate details, and drift will exacerbate distortion.
- Brand asset consistency, if the brand has strict visual guidelines, such as logo placement, color standards, or font styles, generative video may struggle to match them perfectly, and motion control will limit creative expression.
- Complex narrative, if the commercial involves multi-character interactions, dialogue, or plot twists, the motion control of generative video may not support coherent cinematography, and drift will disrupt the narrative pacing.
- High-precision motion, if real physical motion needs to be simulated, such as a car drifting or a product dropping, the motion control of generative video may be inaccurate, resulting in unnatural visuals.
- Real-time feedbackIf the brand needs to adjust shots in real time on set, the generation time for generative video may not be sufficient, leading to project delays.
In these cases, the brand should consider using live-action, CGI, or a combination of live-action and generative methods. For example, shooting product details live and generating the background or visual effects allows for both controlled camera movement and authentic details.
The risk is that the brand might force the use of generative video in pursuit of new technology, leading to project failure. The production team should proactively explain the unsuitable conditions to the brand and provide alternative solutions. The brand should also evaluate its own needs and avoid being held back by technology trends.
An exception is if the brand is willing to accept stylized results, such as abstract art or experimental video, in which case the unsuitable conditions for generative video can be relaxed. However, the brand must clearly accept this style at project initiation and specify it in the contract.
Next Steps
Before launching an AIGC commercial or AI product video project, it is recommended that the brand first produce a 30-second test clip featuring three types of camera movement, such as push, pan, and rotation. The test clip is used to verify whether the generative video meets the brand's motion control standards. If drift issues in the test clip are controllable, proceed to formal production. If drift in the test clip is severe, the plan should be re-evaluated or the motion design adjusted.
At the same time, the brand and the production team should jointly develop a motion control manual that records the motion parameters, prompts, and reference images for each shot. This manual serves as both a production and acceptance basis, reducing communication costs.
Finally, the brand should maintain continuous attention to generative video technology, as model capabilities are improving rapidly. However, current projects should be based on actual results and not rely on potential future features. Through testing and acceptance, the brand can gradually establish its own generative video production standards and accumulate experience for future projects.
If you are preparing an AIGC commercial project, you can first organize the brief, reference visuals, product or company materials, delivery platforms, and copyright scope, and then view theAIGC Video Services page, grounding communication from abstract preferences into actionable production boundaries.
