#Blender

Seamlessly integrate Dream Textures with Blender to craft textures, concept art, and animations using simple text prompts. Features include 'Seamless' tiling and 'Project Dream Texture' for full-scene applications. The local rendering model ensures optimal performance without external service delays. AI capabilities allow for image upscaling and animation restyling with Cycles. Compatible with CUDA and Apple Silicon GPUs, with cloud processing available through DreamStudio. Engage with the active Discord community and contribute on GitHub.

AI Render seamlessly integrates Stable Diffusion into Blender, facilitating AI image generation from text prompts and existing scenes without local code execution. Compatible with Windows, Mac, and Linux, it offers animation and local installation support. Leverage Blender's animation tools for creative projects, batch processing, and prompt experimentation. Discover tutorials, platform compatibility, and an interactive community for feedback and feature requests.

UvSquares is an addon for Blender's UV Editor that reformats quad selections into organized grids, optimizing the UV mapping process. The tool offers capabilities such as transforming multiple UV islands at once, axis alignment of vertices, and snapping functionalities for vertices and 2D cursors. It accommodates both equal square formations and custom configurations by active quads and is easily installable through Blender's addon menu. The integration of shortcuts like 'Alt + E' accelerates grid and alignment tasks, fostering an efficient workflow. Users can find support and affiliate options on BlenderMarket.

Discover how the collaboration with LLM-Agent enhances autonomous driving simulations by advancing editable scene rendering. This project leverages 3D Gaussian splatting to drastically speed up background rendering, achieving remarkable efficiency. Improved Blender processes allow rapid foreground rendering, showcasing significant technological advancements. Supported by OpenAI and NVIDIA AI, this simulation project offers enhanced rendering quality and speed. Explore the innovative features that make this a pivotal tool for autonomous driving development.

This platform for crafting 3D models uses text and image prompts to produce diverse and vibrant 3D creations. Seamlessly integrating with tools like Blender, it facilitates sampling models from both textual and visual inputs. The software supports artistic transformation, offering accessible pathways to digital renderings. Examples and guidance can be found in the notebooks, such as 'sample_text_to_3d.ipynb' for text inputs and 'sample_image_to_3d.ipynb' for images, assisting users of all skill levels in creative interaction.

The bpycv project equips Blender with specialized tools for computer vision and deep learning, facilitating effective rendering of semantic, instance, and panoptic segmentation annotations. Features include 6DoF pose and depth data generation, domain randomization, and straightforward installation with Docker. Utilizing Blender’s native API, it supports the creation of synthetic datasets and conversion to common annotation formats. Recognized for its capabilities, bpycv secured second place in the OCRTOC at IROS 2020, making it valuable for advanced dataset management within Blender.

OpenAI Bridge offers Blender integration with OpenAI APIs for tasks like image generation, audio transcription, and Python code execution using models like DALL-E and GPT-4. Expand creative possibilities and streamline Blender workflows efficiently.

ComfyUI-ToonCrafter enables the use of ToonCrafter for generative keyframe animation in ComfyUI, optimized for RTX 4090 in 26 seconds. It supports animation rendering in Blender without network requirements. Installation includes setting up a ComfyUI node and downloading model weights for high VRAM, with fp16 for better performance. Its seamless integration with Blender provides a convenient solution for creating dynamic animations offline.

MocapNET enables real-time 3D pose estimation from RGB images using simplified neural networks for improved accuracy and performance. Features include a unique 2D pose representation, an orientation classifier, and an inverse kinematics solver, enhancing occlusion handling and limb size adjustments. The Python codebase allows integration with tools like Blender and supports one-click Google Colab deployment. Recent updates introduce 3D gaze and BVH facial configurations, maintaining innovation. MocapNET supports dataset generation and personalized automotive 3D body tracking applications, making it a valuable tool for researchers and developers.

Infinigen provides a platform for creating photorealistic environments using advanced procedural generation. It includes tools for both nature and indoor scene development, supported by detailed guides and an active community, making it a valuable resource for scene creation and computer vision research.