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December 2025 update now available for subscribers!📣 - Make animations and use Puppet Warp in Simple Mode - Fill and paint areas faster with large brushes - Import 3D models with realistic rendering - Auto-install downloaded materials from Assets

CLIP STUDIO PAINT

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7,467,853 views • 8 months ago •via X (Twitter)

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July 2024 update now available for subscribers📣 ・Filters added to Simple Mode ・Easily import line art drawn on paper ・Improved the interface for Studio Mode ・Support for Apple Pencil Pro Squeeze, and more 🔽Find out more here:

July 2024 update now available for subscribers📣 ・Filters added to Simple Mode ・Easily import line art drawn on paper ・Improved the interface for Studio Mode ・Support for Apple Pencil Pro Squeeze, and more 🔽Find out more here:

CLIP STUDIO PAINT

22,106 views • 2 years ago

December 2024 update now available for subscribers📣 - Easier to color correct and apply filters - Improved video editing on mobile devices - Create facial expressions for 3D characters - Added tutorials for Simple Mode on tablets Find out more here: If you have a one-time purchase (perpetual) license, you can access the added features with the Update Pass.

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CLIP STUDIO PAINT

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The latest free version of UE5 AVATAR is now available! This update enhances real-time rendering quality and adds hundreds of new digital clothing and accessories. Create personalized 3D models, customize outfits, select scenes, and connect AI motion capture for real-time rendered 3D animations. Anyone can create 3D character models—no professional modeling skills required. Future versions will support 3D model import/export and image-based 3D model generation. Get the download link in the comments!

CYANPUPPETS

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GeeHub Update: 3D files in FBX and Blender formats are now available and can be downloaded from your GeeHub. We’ve also added a Blender plugin that lets you create poses and render with ease. Check it out and start creating today.

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turned this into a web app you can use with your own obsidian vault! no install, just one html file: point it at your notes folder, it embeds everything with gemini, clusters by meaning, and renders the 3d network in your browser. available now for x/twitter subscribers <3

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105,960 views • 5 months ago

We just released a new FREE tool for 3D creators and 3D scan lovers 🤩 There are already some great scatter addons available, but most are pretty pricey so we wanted to make one everyone can afford. It's got 3 modes for different use cases: Physics: drop and throw objects with gravity and forces Click: Paint assets into your scene by clicking on surfaces Simple: Classic procedural scattering

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KIRI Engine - 3D Scanner App

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Now Chrome is even better with major updates to Gemini in Chrome. Easier to use. More personalized. And more helpful than ever, with Gemini 3. 🎢 Available in the U.S., auto browse for Google AI Pro and Ultra subscribers.

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21,137,771 views • 6 months ago

Whiteboard Fox now can now fill an area with a block of color! Click Draw > Style > Fill to enter Fill mode and define the bounds to be filled. This feature is currently only available to Pro subscribers, but will be free for all users in 6 months.

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Hasan Toor

12,126 views • 1 year ago

The Future of Rendering keynote at #RenderCon2026 with Jules Urbach and Ari Emanuel is now available to watch. Here's everything covered: 00:46 - The state of rendering in 2026 01:36 - MCP for rendering 04:06 - Neural rendering and volumetric media 06:33 - World models 09:11 - Genie 3 demonstrations 17:22 - Creative workflows with generative 3D models 24:24 - Relightable Gaussian splats and virtual production 28:39 - Gene Roddenberry Archive and 3D Star Trek 32:35 - Jules Urbach and Ari Emanuel kick off a fireside chat 34:53 - Content production and cost reduction 38:41 - 3D models in sports and gaming 42:02 - AI's impact on storytelling and creative roles 45:17 - IP and actor digital rights Watch the full talk:

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The Render Network

21,948 views • 2 months ago

🍺 LagerNVS (CVPR 2026) 🍺 LagerNVS is a generalizable, feed-forward, real-time Novel View Synthesis network which - performs rendering in real time, - generalizes to in-the-wild data, - works with and without known source cameras, - sets a new state-of-the-art among deterministic methods, - can be paired with a diffusion decoder for generative extrapolation. LagerNVS shows that 3D biases are useful for Novel View Synthesis but explicit 3D representations are not required to achieve them. We use 3D biases in (1) architecture design and (2) pre-training: (1) In NVS with explicit 3D representations (3DGS, NeRF) reconstruction is typically difficult and slow, but rendering is much faster and simpler. We mimic this process in the network design: we use a large (1B params) encoder and a small, lightweight decoder (ViT-B). This allows increasing the network capacity while still achieving real-time rendering. (2) The encoder, initialized from VGGT, was pre-trained with 3D reconstruction objectives, making the initial features 3D aware. Both substantially improve performance. Project page: Code: Paper: Models: Work done with Jianyuan Minghao Chen Christian Rupprecht and Andrea Vedaldi

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ALCHEMIST AI 🔮

10,899 views • 1 year ago

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Bitrig now works with Xcode projects from GitHub. Import existing repositories, make changes to your projects, and contribute them back through the GitHub workflow your team already uses. Available now in Bitrig for Mac and on your iPhone using Bitrig Remote.

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Bitrig

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LLaVA-3D A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness Recent advancements in Large Multimodal Models (LMMs) have greatly enhanced their proficiency in 2D visual understanding tasks, enabling them to effectively process and understand images and videos. However, the development of LMMs with 3D-awareness for 3D scene understanding has been hindered by the lack of large-scale 3D vision-language datasets and powerful 3D encoders. In this paper, we introduce a simple yet effective framework called LLaVA-3D. Leveraging the strong 2D understanding priors from LLaVA, our LLaVA-3D efficiently adapts LLaVA for 3D scene understanding without compromising 2D understanding capabilities. To achieve this, we employ a simple yet effective representation, 3D Patch, which connects 2D CLIP patch features with their corresponding positions in 3D space. By integrating the 3D Patches into 2D LMMs and employing joint 2D and 3D vision-language instruction tuning, we establish a unified architecture for both 2D image understanding and 3D scene understanding. Experimental results show that LLaVA-3D converges 3.5x faster than existing 3D LMMs when trained on 3D vision-language datasets. Moreover, LLaVA-3D not only achieves state-of-the-art performance across various 3D tasks but also maintains comparable 2D image understanding and vision-language conversation capabilities with LLaVA.

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ALCHEMIST AI 🔮

20,037 views • 1 year ago

✨ Happy New Year from Meshcapade! ✨ We're smashing into 2025 with a massive new release. 🎉 Introducing the .SMPL format! #SMPL is a generative model for capturing and generating human behaviors, expressions, soft-tissue movement, hands & finger articulation in 3D. It is the standard for representing humans for #AI and #MachineLearning while being fully compatible with standard graphics engines. Due to its popularity, we are now making it available as a downloadable file format with all the parametric information for training your AI models. Try it out now: ➡️ Download your results as a .SMPL file for use in your AI method. ➡️ Import your own .SMPL files to view them on our online platform. 🏂 Slide into 2025 with Meshcapade & #SMPL! ✨

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Meshcapade

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132,048 views • 2 months ago