video-editing

5 posts

figma

Principles in Motion | Figma Blog (opens in new tab)

Motion design extends graphic design into time, using rhythm, pacing, sound, and sequencing to communicate ideas. The Figma designers argue that effective motion combines clear intent with an understanding of physics and human perception. Rather than copying trends, designers should draw inspiration from nature, film, art, and real-world movement. ## Motion Turns Design into a Sequence - Graphic design communicates through static images; motion adds: - Rhythm and pacing - Transformation and character - Easing and timing - Sound and synchronization - Motion allows designers to divide a story across multiple frames instead of forcing every idea into one image. - Timing can create emotion and direct attention, much like beats structure music. - Unexpected connections between sound and image can produce “happy accidents” and richer results. ## Physics as a Foundation - Real-world physics provides a reference for making animated movement feel believable. - A bouncing ball, for example: - Moves quickly after impact - Rises and slows near its highest point - Falls again - Loses height with each bounce - Viewers often recognize when motion feels “good” because it reflects familiar physical behavior, even if they cannot explain why. ## Finding More Original Motion References - Relying only on existing motion-design examples can lead to predictable trends. - Designers can develop more distinctive work by studying: - Movement in nature - Film storytelling and editing - Gestures and forms in art and design - These broader references help motion communicate character and meaning beyond standard bouncing shapes and rectangles. ## Core Motion Principles - **Ease in/ease out:** Controls acceleration and deceleration. - **Anticipation:** Prepares the viewer for an upcoming action. - **Overshoot:** Moves slightly beyond the destination before returning. - **Follow-through:** Keeps secondary elements moving after the main action ends. - **Hold:** Pauses so viewers can process an event. - **Settle:** Adds subtle final movement as an object comes to rest. ## Transitions and Continuity - Easing determines how movement begins, changes speed, and settles. - Match cuts connect separate shots through a shared movement. - Cutting at the fastest point of an action can make transitions feel seamless. - Transitions link individual story beats and help the overall piece feel cohesive. Motion works best when designers treat time as a storytelling material. Grounding movement in physics, using sound thoughtfully, and drawing from varied real-world references can make animation clearer, more expressive, and less predictable.

netflix

Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix (opens in new tab)

Netflix explores AI video-editing tools designed to preserve artists’ creative control rather than regenerate entire clips indiscriminately. The research addresses two major problems: unintended changes to untouched footage and physically implausible results when objects are removed. Its proposed systems, Vera and VOID, generate targeted edits while preserving scene identity, performance, and continuity. ## Challenges in Generative Video Editing - Full-video regeneration can unintentionally change: - Actors’ identities and performances - Backgrounds and objects - Important scene details - Object removal often produces unnatural results because models erase the target without reconstructing realistic motion and physical interactions. - Professional editors need precise control over what changes and what remains untouched. ## Vera: Layered Video Diffusion - Vera generates: - An edit layer containing the requested visual change - An alpha matte defining where that change should appear - These layers are composited with the original footage, leaving pixels outside the edited region intact. - The approach supports tasks such as: - Adding objects - Changing backgrounds - This layered design helps preserve original identities, performances, and details. ## Training Dataset - Netflix created a custom dataset because existing public datasets lacked high-quality layered video data. - The dataset contains 486,000 frames at 832×480 resolution. - It includes: - **Synthetic composites:** Foreground objects with alpha mattes placed over generated backgrounds. - **Realistic single-object videos:** Real footage processed with segmentation, matting, background generation, and human review. - **Realistic multi-object videos with effects:** Objects isolated along with shadows, reflections, and other scene effects. ## Vera’s Model Architecture - Vera uses a Mixture-of-Transformers design with three specialized DiTs for: - The edit layer - The alpha matte - The composite video - Each branch has its own attention projections and feed-forward weights, allowing specialization while joint attention enables communication between layers. - The model is initialized from a pretrained text-to-video model. - Additional embeddings and input layers help distinguish source-video, mask, alpha, and composite information. ## Evaluation and Results - Netflix tested Vera on: - 72 object-addition video-prompt pairs - 69 background-change pairs - The benchmark included varied motion speeds, camera movements, object counts, and scene complexity. - Evaluation measured: - Preservation of untouched content - Compliance with text instructions - Temporal and per-frame video quality - Vera-1.3B and Vera-14B substantially outperformed existing methods on content preservation while achieving comparable instruction-following and visual quality. Netflix’s research favors localized, layered editing over unrestricted video regeneration. Vera demonstrates how separating edits from original footage can make generative tools safer and more controllable for professional workflows; the accompanying VOID research aims to apply similar principles to physically plausible object and interaction removal.

figma

Direct Every Frame with Runway Aleph 2.0, Now in Figma Weave | Figma Blog (opens in new tab)

Runway Aleph 2.0 is now integrated into Figma Weave, giving creators precise, frame-level control over video edits. The model supports longer clips, reference images, and sequential creative decisions while preserving footage that users do not ask to change. It also enables substantial transformations—such as new camera angles, characters, or environments—without requiring a reshoot. ## More Time, More Control - Aleph 2.0 supports video clips up to 30 seconds, allowing users to direct complete scenes. - Reference images can guide the visual style and appearance of edits. - Changes are applied across relevant frames while preserving unaffected elements. - Subject-specific edits follow that subject throughout the footage. ## Sequenced Creative Workflows - The Aleph 2.0 node in Figma Weave supports connected, step-by-step workflows. - Creators can preview edits before committing them. - Multiple decisions can be refined progressively rather than being forced into a single prompt. - The workflow mirrors traditional creative development on a visual canvas. ## Extending Existing Footage - Users can alter a scene beyond the limits of the original recording. - Possible changes include: - Adjusting the camera angle - Adding new characters - Transforming the environment - Multiple creative directions can be explored side by side without restarting from scratch. - The creator defines the desired conditions, while Aleph 2.0 generates the revised video. ## Pricing and Resources - Figma says pricing will soon scale according to input length, potentially lowering costs for some use cases. - Users can learn more through Figma’s help center, community templates library, and Weavy’s knowledge center. Figma Weave users can use Aleph 2.0 to move from broad AI generation toward more controlled, iterative video direction—making it useful for experimentation, editing, and visual development without reshooting footage.

figma

Introducing Figma Weave: The Next Generation of AI-Native Creation at Figma | Figma Blog (opens in new tab)

Figma has acquired Weavy, bringing its AI media-generation and professional editing capabilities into Figma as **Figma Weave**. The new product aims to treat AI outputs as starting points rather than finished results, combining generative models with human editing and creative judgment. Figma’s goal is to support more sophisticated image, video, animation, motion design, and VFX workflows within its collaborative platform. ## Generative Craft - Weavy combines multiple AI models with professional editing tools in a browser-based canvas. - Creators can select models for different purposes, including: - Seedance, Sora, and Veo for cinematic video - Flux and Ideogram for realistic imagery - Nano-Banana and Seedream for precision-focused work - AI outputs can be refined through hands-on techniques such as: - Lighting adjustments - Object masking - Color grading - Its node-based workflow allows users to branch, remix, and refine outputs. - Each result can become an input for the next stage, creating a flexible media pipeline that balances experimentation with control. ## A Platform for Creative Professionals - Weavy has attracted independent creators, startups, and Fortune 100 companies in less than a year. - Its users include: - Architects creating staged environments - Visual-effects artists producing content for games, television, and film - Marketers developing social videos and banners - Designers creating product mockups, branding assets, and other media - Figma emphasizes that the platform is designed for process and craft rather than one-click generation. ## The Weavy Team and Figma’s Roadmap - Weavy’s founders and team bring experience in product development, engineering, visual effects, animation, and creative production. - The companies share a focus on community, making, and professional-quality creative work. - Figma is expanding the team in Tel Aviv and elsewhere to support Figma Weave’s development. - The acquisition is intended to broaden Figma from a digital-product design platform into a more comprehensive AI-powered creative environment. Figma Weave’s central promise is to make AI-generated media more editable, collaborative, and expressive. Rather than replacing creative expertise, Figma plans to use Weavy’s tools to help users push beyond generic AI results and retain control over the final work.

figma

Three New Features to Help Build Brand Momentum With Figma Buzz | Figma Blog (opens in new tab)

Figma is expanding Figma Buzz to help marketing teams create branded assets at scale while preserving design-system consistency. The October 2025 update introduces configurable templates based on component properties, plugin integrations, and built-in video trimming. Together, these features give marketers more flexibility while helping brand teams maintain control over approved designs, assets, and content. ## Configurable Templates Built on Design Systems - Brand designers can copy templates from Figma Design component sets into Figma Buzz. - Component properties automatically remain functional in Buzz. - Marketers can customize templates through the **Change layout** panel by: - Selecting layout variants - Toggling elements such as dates on or off - Switching between approved component instances - Changing colors, logos, calls to action, or illustrations - Teams can offer flexible template variations without creating and maintaining hundreds of separate files. - The result is easier template discovery and customization without compromising brand guidelines. ## Plugins for Connected Marketing Workflows Plugins are now available directly in Figma Buzz, reducing the need to move between design and marketing tools. Initial integrations focus on digital asset management, translation management, and animation, while teams can also create and publish internal plugins. ### Digital Asset Management DAM integrations let marketers access approved assets and keep designs synchronized without leaving Figma Buzz. Featured plugins include: - Air - Brandfolder - Bynder - OrangeLogic These connections support browsing and importing approved images, as well as uploading completed designs back to asset-management systems. ### Translation Management Translation-management integrations allow teams to pull localized copy directly into Figma Buzz templates. This helps marketing organizations scale campaigns globally while keeping translations connected to their visual design context. ## Video Trimming - Users can trim videos directly inside Figma Buzz. - This provides more control over how video content appears in branded assets. - It builds on earlier support for importing and exporting video. Figma positions these additions as part of its broader effort to make Buzz a scalable workspace for brand and marketing teams. Teams can use design-system-driven templates for consistency, plugins to connect existing workflows, and in-app video editing to produce polished campaign assets more efficiently.