# Spatially-Precise Video Editing with Reference Imitation: A Region-Aware Cross-Modal Framework
## 4 Results
### Comparison to Prior Arts
#### 4.3.1 Qualitative Experiment  
To further evaluate the effectiveness of our method, we carried out detailed demonstrations to contrast the qualitative performance of our method with the selected competitors. Figures 5 and 6 display the visual results. These figures provide clear visual evidence for a direct comparison of the qualitative performance among different methods. Figure 4: Achieve diverse results with distinct reference regions and varied reference images. * Case 1: Local Component Editing As shown in Figure 5, the source video depicts a woman speaking, and the goal is to modify her hairstyle to match the medium-length wavy red hair from the reference image. This task requires not only an accurate transfer of color and shape but also the preservation of natural motion and temporal consistency across frames. Among the compared methods, AnyV2V achieves a reasonable color transformation; however, it struggles with structural accuracy, resulting in distorted hair shapes that fluctuate across frames. These inconsistencies render the edited hairstyle appear unnatural and unstable. Overall, these issues limit its ability to produce high-quality, natural-looking hairstyle modifications. StableVideo, on the other hand, ensures better temporal coherence, preventing flickering or erratic movements, but it is deficient in making precise edits. As a result, the final output exhibits an incomplete hairstyle transformation where significant details, such as the wavy texture and proper shape, are missing. Such limitations in achieving accurate and detailed transformations reduce the overall quality of the edited video. MotionDirector performs better in preserving motion dynamics, but the edited region contains overly artificial textures that contrast starkly with the original scene, reducing the realism of the output. Consequently, the lack of natural-looking textures undermines the authenticity of the final output. In contrast, our method effectively captures the fine details of the hairstyle, including the distinctive wave patterns and vibrant red tones, while ensuring a natural blend with the original video. The structural accuracy of the modified hair remains intact, and the transitions between frames are handled smoothly, eliminating any undesirable temporal artifacts. As a result, the subject's movement appears seamless. The modification looks both visually convincing and is naturally integrated into the scene. * Case 2: Local Texture Transfer As shown in Figure 6, this example centers on replacing the texture of an orange colliding with water in the source video with that of a watermelon, using a reference image as guidance. This transformation is particularly challenging as it requires precise texture alignment, consistent lighting adaptation, and seamless interaction with the surrounding water to maintain realism. AnyV2V struggles significantly in this task, resulting in severe artifacts and inconsistent texture mapping across frames. The resulting output exhibits noticeable distortions and flickering, making the transformation visually unstable. These flaws seriously compromise the quality and visual integrity of the texture-replacement result. StableVideo demonstrates superior performance in temporal consistency, avoiding erratic changes in texture, but the transfer remains incomplete. Residual patterns of the original orange texture are still present, unable to achieve a full and convincing transformation. Such incomplete transfer significantly reduces the believability of the modified video. MotionDirector successfully applies the watermelon texture, but it introduces unnatural lighting variations and abrupt transitions between frames, making the edited object seem out of place in the scene. These unnatural visual elements undermine the overall authenticity of the edited scene. Our proposed method, however, excels in maintaining realistic texture replacement. It also ensures harmonious integration with the original video dynamics.