The field of video and image editing is moving towards more controllable and efficient methods. Recent developments have focused on improving the precision and flexibility of editing techniques, allowing for more intuitive and realistic manipulations. This is achieved through the introduction of novel frameworks and methods that enable precise control over object properties and editing cues. Notable advancements include the use of unified frameworks, noise inversion-based editing techniques, and bidirectional warping methods. These innovations have led to significant improvements in editing quality, fidelity, and controllability. Noteworthy papers include O-DisCo-Edit, which proposes a unified framework for controllable video editing, and Inpaint4Drag, which introduces a novel framework for drag-based image editing via bidirectional warping. Delta Velocity Rectified Flow is also a notable work, proposing a novel inversion-free editing framework for text-to-image editing. Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing is another significant contribution, investigating the text-to-image editing capabilities of visual autoregressive models.