The field of computer graphics and vision is witnessing significant advancements in multimodal synthesis and editing, with a focus on creating more realistic and interactive experiences. Researchers are exploring innovative approaches to integrate 3D visual representations with interactive sound synthesis, enabling more immersive and engaging interactions. Furthermore, there is a growing interest in developing robust and efficient methods for video editing, object insertion, and animation colorization, which are crucial for various applications in entertainment, education, and advertising. Noteworthy papers in this area include SonicGauss, which introduces a novel framework for position-aware physical sound synthesis from 3D Gaussian representations. AnimeColor is another notable work, which proposes a reference-based animation colorization framework leveraging Diffusion Transformers. From Gallery to Wrist presents a hybrid object insertion pipeline that combines 3D rendering and 2D diffusion for realistic and consistent video editing. Compositional Video Synthesis by Temporal Object-Centric Learning is also a significant contribution, which enables high-quality video synthesis with superior temporal coherence and intuitive compositional editing capabilities. Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis is another important work, which creates high-quality dynamic 3D content from single video inputs.