Photorealistic Rendering

One button for more realistic lighting? It's called ACES, and most KeyShot users are ignoring it. Traditional KeyShot lighting: - Bright lights create harsh color shifts. Your gradients break down into six distinct hues under intense lighting. ACES lighting: Colors desaturate naturally as brightness increases. Like how film responds to exposure. Like how eyes see reality. The result? More photographic, less "CG looking" renders. The catch: Your images will look gray and washed out initially. This is intentional. You get massive dynamic range without overexposure. The workflow shift: - Enable ACES transform in photographic mode - Crank up your light sources - Color correct using KeyShot's built-in sliders - Or render EXR files for advanced post work This was honestly one of the most challenging tutorials I've made. ACES deviates completely from traditional KeyShot workflows, and the color science behind it gets complex fast. But the payoff? Renders that feel less digital, more believable. Most KeyShot users stick to familiar workflows. Which means mastering ACES gives you a competitive edge in an oversaturated market. Ready to make your lighting look less "perfect" and more real? Full breakdown in this video - https://lnkd.in/eQexcvN8 #ACES #rendering #keyshot #industrialdesign

Sharp Monocular View Synthesis in Less Than a Second https://lnkd.in/djBTUjUE Real-time photorealistic view synthesis from a single image. Given a single photograph, regresses the parameters of a 3D Gaussian representation of the depicted scene. Synthesis in less than a second on a standard GPU via a single feedforward pass through a neural network. The synthesized representation is then rendered in real time, yielding high-resolution photorealistic images for nearby views. The representation is metric, with absolute scale, supporting metric camera movements. Robust zero-shot generalization. SOTA on multiple datasets while lowering the synthesis time by three orders of magnitude. Code and weights (try it on your images!) at https://lnkd.in/dMjfhnP4 . Project page with videos: https://lnkd.in/dGbuDaht with Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santana, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan Richter

𝟯𝗗 𝗠𝗲𝘀𝗵 𝘃𝘀 𝗚𝗮𝘂𝘀𝘀𝗶𝗮𝗻 𝗦𝗽𝗹𝗮𝘁𝘁𝗶𝗻𝗴: 𝗧𝘄𝗼 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗦𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀 With the rapid evolution of photogrammetry and reality-capture technologies, two methods are now dominating the creation of high-quality 3D models from drone imagery: 3D Mesh Reconstruction and 3D Gaussian Splatting. 1) 3D Mesh Reconstruction 3D Mesh is the traditional and engineering-grade approach used in surveying and mapping software such as Pix4D, DJI Terra, and RealityCapture. It converts millions of 3D points into a true geometric surface made of triangles and applies high-resolution textures from the images. Key strengths - Provides real, measurable geometry - Enables distance, area, and volume calculations - Integrates directly with CAD, BIM, and GIS - Ideal for construction, infrastructure, and land surveying Best used for: - As-built documentation - Corridor and utility planning - Quantity take-offs - Engineering and asset management 2) 3D Gaussian Splatting Gaussian splatting is an advanced processing technique that dramatically improves visualization in 3D models and generates more complete point clouds, producing a highly photorealistic representation of a scene. It generates outputs that are smoother, more detailed, and visually impactful. Key strengths - Exceptional visual realism - Smooth, real-time navigation - Handles complex scenes like vegetation, facades, and fine details - Perfect for Digital Twins and immersive visualization Best used for: - Smart city platforms - Digital twins - Platforms like Google Earth, Metaverse, and Web-based 3D viewers 🚀 The future of geospatial data is not just about accuracy ....it is about how effectively we can visualize, understand, and interact with our world. #DroneSurvey #Photogrammetry #3DMapping #DigitalTwin #GaussianSplatting #3DMesh #Pix4D #SmartCities #GIS #Geospatial

A Stepwise Python Code Implementation to Create Interactive Photorealistic Faces with NVIDIA StyleGAN2‑ADA (Colab Notebook Included) In this tutorial, we will do an in-depth, interactive exploration of NVIDIA’s StyleGAN2‑ADA PyTorch model, showcasing its powerful capabilities for generating photorealistic images. Leveraging a pretrained FFHQ model, users can generate high-quality synthetic face images from a single latent seed or visualize smooth transitions through latent space interpolation between different seeds. With an intuitive interface powered by interactive widgets, this tutorial is a valuable resource for researchers, artists, and enthusiasts looking to understand and experiment with advanced generative adversarial networks..... Full Tutorial: https://lnkd.in/gn2XJTnx Colab Notebook: https://lnkd.in/gBuv5Enm NVIDIA NVIDIA AI

3D Gaussian Splatting (3DGS) is becoming the new standard for 3D reconstruction, rapidly transforming fields like Robotics, Autonomous Vehicles, AR/VR, Gaming, and VFX. With its ability to deliver photorealistic, real-time rendering while capturing large-scale scenes with minimal artifacts, 3DGS is solving complex problems across industries—all without relying on neural networks. In this article, we break down the Gaussian Splatting paper, explore the key equations, and explain how it achieves its unmatched performance. We also guide you through training your own data using nerf-studio's gSplat and share tips to get the best results. If you're working on 3D reconstruction or visual computing, this is the resource you need to stay ahead! https://buff.ly/3ZKhzrG

WHY UNREAL ENGINE IS THE BEST FOR IMMERSIVE WORLD CREATION !! Creating immersive 3D worlds requires a powerful, flexible, and real-time engine. For my Kali Peeli Taxi project—a recreation of Mumbai’s iconic taxi with a detailed chawl-style environment—Unreal Engine proved to be the ultimate tool. Here’s why: •REAL-TIME RENDERING & LIGHTING Unreal’s real-time rendering allowed me to tweak lighting, reflections, and shadows instantly, making my scene look photorealistic. Lumen and Ray Tracing helped create natural sunlight, soft shadows, and realistic reflections, enhancing the overall depth and mood. •MEGASCANS & HIGH-QUALITY ASSETS With Quixel Megascans, I integrated photorealistic textures and props seamlessly, saving time while achieving a high level of realism. The gritty chawl walls, dusty streets, and aged surfaces felt authentic without manual sculpting. •ADVANCED MATERIALS & CINEMATIC TOOLS Unreal’s Material Editor helped me create detailed wear and tear on the taxi and environment. Plus, the camera system and post-processing effects added cinematic depth, motion blur, and color grading, making the presentation feel more professional. •THE ULTIMATE TOOL FOR IMMERSIVE WORLDS From real-time rendering and dynamic lighting to high-quality assets and cinematic tools, Unreal Engine makes world-building seamless. Working on this project was a great learning experience, and I can’t wait to push my skills further. 🔗 https://lnkd.in/gtKEXtEn #UnrealEngine #3DArt #EnvironmentArt #RealTimeRendering #KaliPeeli #Mumbai #GameArt #Megascans #GameDevelopment #ImmersiveWorlds

Spotlight On: Abhijit khanvilkar - Master of Digital Realism 🌟🎨 Abhijit Khanvilkar is a texture wizard and look development specialist based in #Sydney, #Australia. With over a decade of experience in #DigitalMedia, he's collaborated with top-notch studios, breathing life into characters for #FeatureFilm projects. Abhijit's passion for #Art is matched only by his obsession with pushing creative boundaries. Whether he's crafting hyper-realistic textures or exploring the cutting edge of rendering workflows, this guy’s got a knack for making pixels look like pure magic! 💫✨🖌️ Let’s talk about his latest gem—“Pinky.” This digital portrait isn’t just art; it’s a masterclass in realism. Abhijit used ZBrush to sculpt lifelike details, Houdini for grooming that soft yet slightly unruly hair, and #Substance3D for jaw-dropping skin textures. Look closely, and you’ll see the faint pores, subtle imperfections, and even the soft glow on her cheeks. 😳💡 Talk about dedication! The lighting is impeccable, with Solaris and Renderman creating that perfect balance of drama and natural beauty. Honestly, it’s so realistic you’ll almost feel like she’s about to blink! 👀✨ Pinky was an exciting opportunity for Abhijit to revisit and refine some of the techniques he’s used in the past, while incorporating new workflows to elevate the quality and efficiency of the process. Key highlights of the project include: 🎨 Initial Modeling Based on Photo-survey: Built from multiple photo-survey sessions, Abhijit sculpted and matched the likeness with precision. • 🖌️ Sculpted Details in ZBrush: Using ZBrush, he modeled secondary sculpt details to capture unique facial features, complemented with high-resolution skin textures from TextureXYZ. • 💇♀️ Grooming in Houdini: Abhijit recreated a messy hairstyle with handcrafted guides, carefully positioned using matched cameras for authenticity. • 🎭 VFace and Procedural Textures: Combining VFace textures and procedurally created skin textures in #Substance3D, he refined areas like the ears, neck, and chest. • 💡 Look Development with Solaris and Renderman: Abhijit crafted a look-dev template in Houdini Solaris, utilizing the NCR version of Renderman with MaterialX Lama shaders to explore their capabilities. Pinky isn’t just a character; she’s a showcase of Abhijit’s tireless innovation and willingness to experiment with new workflows. This project is "a blend of exploration, rejuvenation, and skill refinement." We call it sheer brilliance. 🎨🔮✨ Check out more of Abhijit’s jaw-dropping work: 🔗 ArtStation profile: https://lnkd.in/eNmribZz 🔗 Pinky - https://lnkd.in/eQRjfdxt #Creative #Creativity #Inspiration #Art #Artist #ArtStation #Character #Game #Games #GameDev #GameDevelopment #GameIndustry #GamesIndustry #Concept #ConceptArt #GameArt #Feature #Featured #Support 🎉🎯💥

✏️ The first thing we learn as architects — is the line. From lines to reality — this exploration transforms sketches into living structures _ where brutalism breathes and structure grows. The base concepts were generated in #Midjourney, then reimagined and rendered from sketch to reality using #Seedream4, keeping the soul of the hand sketch alive. 🧠 I’m sharing the exact prompts I used — from sketch to render: 🎨 Seedream4 model: Convert the sketch into a cinematic photoreal architectural render with natural lighting and refined materials. Use a desaturated, elegant color palette with cool grays, soft beiges, and subtle warm interior lights. Render realistic glass with depth and reflection, matte concrete panels or stone with fine texture, and brushed metal details. Vegetation should be natural dark green and not oversaturated. Keep lighting soft and diffused, as if captured on an overcast or late-afternoon day. The mood should feel calm, sophisticated, and timeless — like a high-end architectural photograph. Avoid exaggerated contrast, oversharpening, or artificial colors. Focus on realism, balanced tones, and material authenticity. 🎨 NanoBanana model: Convert the sketch into a cinematic photoreal render with soft natural light and refined materials. Use cool grays, warm beiges, and subtle golden interior light. Realistic glass reflections, matte concrete texture, and natural dark green vegetation. Calm, elegant, and timeless atmosphere — like a high-end architectural photograph. 🧪 (Personal exploration — not related to professional work) #Architecture #AISketching #ConceptDesign #Brutalism #AIinArchitecture #Seedream4 #ComfyUI #Midjourney #NanoBanana #ArchitecturalVisualization #DesignInnovation

I've spend many years studying light reflections (it was my PhD actually) and it's always the root of many issues in computer vision. 3DGS/NeRF are not an exception to this of course but clever methods are always emerging! Take a look at "SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes" from National Yang Ming Chiao Tung University and University of Illinois Urbana-Champaign. They present SpectroMotion, a novel approach that combines 3D Gaussian Splatting (3DGS) with physically-based rendering (PBR) and deformation fields to reconstruct dynamic specular scenes. Previous methods extending 3DGS to model dynamic scenes have struggled to accurately represent specular surfaces. Their method addresses this limitation by introducing a residual correction technique for accurate surface normal computation during deformation, complemented by a deformable environment map that adapts to time-varying lighting conditions. They implement a coarse-to-fine training strategy that significantly enhances both scene geometry and specular color prediction. They demonstrate that our model outperforms prior methods for view synthesis of scenes containing dynamic specular objects and that it is the only existing 3DGS method capable of synthesizing photorealistic real-world dynamic specular scenes, outperforming state-of-the-art methods in rendering complex, dynamic, and specular scenes. Links in comments #reflections #lightinteractions #3DGS #gaussiansplatting #novelviewsynthesis #dynamicgaussiansplatting #computervision #deeplearning #machinelearning #futurism #light #vfx