🎥 AI-Enhanced Architectural Animation Experiment 🎥 In this stage of my workflow, I’m exploring the integration of AI-driven video generation to bring static architectural renderings to life. The process begins with original 3D scenes created in 3ds Max and rendered through V-Ray, ensuring realistic materials, lighting, and atmosphere. After fine-tuning the visual compositions, the static frames are further enhanced and stylized using AI tools, refining color depth, mood, and realism. Once the visual quality is optimized, I use advanced AI motion-generation techniques to transform these still images into dynamic cinematic videos, adding realistic camera movements, lighting transitions, environmental effects, and human or vehicle motion — all while maintaining the original architectural integrity. This workflow opens a new creative direction in architectural visualization, blending traditional rendering techniques with the limitless possibilities of artificial intelligence. The goal is to deliver not just static imagery — but immersive architectural experiences that communicate space, light, and life. Stay tuned for the final AI-powered animation reveal soon! 🚀 #ArchitecturalVisualization #AI #3dsMax #Vray #AIVideo #Rendering #Innovation #DesignTechnology #VisualizationProcess #DigitalArchitecture

Video Generation models can reduce huge cost in terms of VFX and CGI While discussing random thoughts with a friend, I realized how AI can really makes creating visuals really accessible One of the most resource intensive part of an animation or CGI clip is real life physics simulation Specially, the effects which includes use of particles very much, like water simulation, smoke simulation, fire simulation These are some of the areas where a basic simulation for a few seconds can take hours on a pretty capable machine, thus sometimes even limiting no of creative iterations we can create of the same For reference, Director James Cameron has shot all the water scenes in a huge pool with real 3D water cameras just to keep things as realistic as possible for Avatar 2 With Video Generation models like OpenAI’s Sora 2 or the newly released Google’s Veo 3, a basic water simulation shot can be created in the cheapest way possible. Sora 2 pro costing for each second is $0.5 for 1080p video in landscape mode It means for a 60 second clip, it will be less than 60x$0.50 ‎ =  $30 for a 60 seconds clip If we compare it to high quality render of water simulation shot, the cost can go much much higher, thus making execution of ideas much more accessible As someone, who really loves the visual medium of storytelling, the times can not be more than exciting than before What do you think, let me know your thoughts on this PS: I am actually a huge fan of practical effects than Computer generated imagery and the technology James Cameron developed for Avatar 2 is something really impressive and fascinating for me, but what I believes in making physics simulation accessible to everyone can actually help in the creative process specially during the pre-visualisation phase and thus can help in creating something genuinely breath-taking

🎓 Bachelor’s Final Year Project (Part 1): AI-Based 3D Scene Reconstruction from Video 🧩 Problem Statement: Creating 3D scenes is often a time-consuming process — it can take a developer several days to manually design complex environments. But what if we could generate 3D scenes automatically in just a few minutes? 💡 Our Solution: We developed an Android based AI-powered mobile application that: · Captures intrinsic and extrinsic camera parameters from Android devices. · Performs coordinate system conversions for accurate 3D reconstruction. · Uses SimpleRecon to reconstruct complex 3D scenes from video. · Displays the generated 3D scenes in AR using Unity, allowing interactive exploration. 📱 This enables fast and immersive 3D scene creation — opening possibilities for AR/VR, gaming, and virtual content creation. 🌟 This project strengthened my interest in 3D Vision, AI for Creativity, and Visual Intelligence — which I now continue exploring in my Master’s in Creative and Visual AI. 🔧 Key Technologies: Computer Vision · 3D Reconstruction · Camera Calibration . Augmented Reality #AI #ArtificialIntelligence #MachineLearning #ComputerVision #3DVision #3DReconstruction #AugmentedReality #AR #Unity3D #DeepLearning #Innovation #TechProjects #BachelorProject #AIApplications #GenerativeAI #ARDevelopment

Deliver high-end visual effects in less time, without compromising quality? That’s new reality in media and entertainment. Boxel Studio faced this challenge head-on when they began working on the visual effects for The CW’s 𝘚𝘶𝘱𝘦𝘳𝘮𝘢𝘯 & 𝘓𝘰𝘪𝘴. Using Autodesk Flow Studio, Boxel was able to compress weeks of traditional VFX work into just a couple of days. No sweaty motion capture suit required. Every time creators use tools to solve what used to be impossible, I’m reminded why we do this work. Because the best technology doesn’t just solve problems—it makes you forget they were ever problems at all. https://lnkd.in/enKydjAh #VFX #FlowStudio #AI

Streamlining the 2D-to-3D pipeline: Rodin's powerful Gen-2 model is now integrated into ComfyUI. A significant development for the open-source creative AI community. The Rodin Gen-2 image-to-3D model, one of the most powerful tools of its kind, is now available as a dedicated API node directly within ComfyUI. This integration streamlines the 2D-to-3D asset creation pipeline, allowing users to generate high-quality 3D models from images directly within their existing node-based workflows. The Gen-2 node brings a suite of professional-grade features, including: High-resolution mesh generation (4x quality). Support for standard T/A Posing, crucial for character rigging workflows. Generation of PBR (Physically-Based Rendering) textures for realistic materials. Multiview-to-3D reconstruction capabilities. By bringing this one-click generation capability into a versatile platform like ComfyUI, it further democratises high-quality 3D asset creation and simplifies the pipeline for game developers, animators, and VFX artists. It's another strong example of the power of the open-source ecosystem in accelerating creative technology. For those looking to try it, the node is currently available in the nightly build of ComfyUI. #RodinGen2 #ComfyUI #3D #GenerativeAI #ImageTo3D #VFX #GameDev #OpenSource #AI

The biggest barrier to scientific communication is a lack of audience comprehension. Only 16.3% of the public in Spain is actively interested in science, often because they simply do not understand it. At Frame Imagery Solutions (FIS), we are strategic partners that transform complexity into conviction using high-impact 3D visualization. Here are 3 critical communication challenges that 3D animation solves: 1. Conquering Abstraction: Traditional 2D representations fail to convey complex anatomical or chemical phenomena. Our digital 3D models clarify abstract subjects, allowing users to magnify, rotate, or decompose the object of study for complete understanding. 2. Revealing Hidden Data: We move beyond flat graphics. 3D visualization helps explore complex relationships between variables that are not evident in a 2D graph. We deliver the clarity needed for informed decision-making in the digital age. 3. Ensuring Executive Approval: The key challenge isn't just the solution, but ensuring the simplified message reaches the decision-maker (CEO/VP). We provide the "tool to convince" that allows your Vice President to grasp the full project value in 60 seconds. 3D Animation isn't just nice-to-have; it's the essential methodology for clarity and persuasion in complex fields. Turn your complex data into compelling clarity. #3DVisualization #ScientificCommunication #STEM #HighImpactVisuals #FIS

I have been experimenting with 3D world models lately, thanks to World Labs. See an example attached, it looks great! I used their "Marble 0.1-plus" model to create the world in the video ("interactive link" in the comments) from a single image. You can give it an image (or a prompt to create an image) to start. Then, it analyses the image to auto-create the prompt to turn it into an interactive world. After the world is created, you can jump in and move around easily! 2026 will be the year of world models, and World Labs might be one of the leaders in this area. Interactive world models are still in an early stage, but I think they show so much potential, which excites me a lot. Let's see how far they will get in a year!

📢CAP4D: 4D Avatars with Morphable Multi-View Diffusion Models CAP4D introduces a unified framework for generating photorealistic and animate style rendering 4D portrait avatars from any number of reference images as well as even a single image. By combining Morphable Multi-View Diffusion Models (MMDMs) with 3D Gaussian Splatting, CAP4D enables real-time rendering and animation with state-of-the-art realism and identity consistency. 🔑 Key Highlights: ☑️ Morphable Multi-View Diffusion Model (MMDM): Learns pose and expression-controlled view synthesis, producing self-consistent multi-view images from one or more references. ☑️ Stochastic I/O Conditioning: Allows scaling from 1 to 100 reference images, ensuring cross-view and temporal consistency without retraining. ☑️ 4D Gaussian Representation: Trains an avatar, which can be animated, using 3D Gaussian splatting and achieving fine-grained, expression-dependent deformations. ☑️ Real-Time Rendering: Generates avatars that can be animated and viewed interactively, enabling live applications. ☑️ Superior Quality: Outperforms DiffusionRig, FlashAvatar, GaussianAvatars, and Portrait4D-v2 in realism, identity preservation, and expression fidelity. 🤔 Why It Matters:  CAP4D bridges the gap between single-image generation and multi-view reconstruction, making 4D avatar creation scalable, photorealistic, and efficient. This breakthrough has implications for AR/VR, telepresence, digital content creation, and virtual humans, offering a pathway toward realistic, controllable avatars driven by minimal input data. 🔗 Explore More: 📄 Paper: arXiv:2412.12093 🌐 Project Page: https://lnkd.in/gJVABNXS 📙 Related LearnOpenCV Blog Posts: 🔹FramePack: https://lnkd.in/gExPxmqr 🔹Video Generative Models: https://lnkd.in/gtag22qV #CAP4D #4DAvatars #DiffusionModels #GaussianSplatting #3DReconstruction #ComputerVision #DeepLearning

For decades, 3D creation has been the domain of specialists — artists painstakingly modeling, texturing, and lighting objects using tools like Blender or Maya. But Generative AI has started to erode that boundary. That’s where Matrix and EchoLadder come in — two different approaches to making world-building not only automatic, but collaborative.