Blender

Headlines · 7

1. 9h
   Arrow detection with a ConvNeXt backbone pretrained on DINOv3

   A Reddit user, BrashBunyip, posted an archery arrow-detection project on r/MachineLearning, building a dataset from roughly 40,000 rendered Blender scenes plus 8,000 hand-labelled real images, augmented into about 1 million training samples for separate registration and detection networks. The author reports that ImageNet-pretrained ResNets performed quite well and a pure ViT worse, while ConvNeXt pretrained on DINOv3 performed best. Self-reported test results were F1 96.6% and 80.5% whole-image correctness, with no missed arrows and no false detections. The pipeline registers the target to find rings, centre and scoring zones, produces an impact heatmap from the cropped image, runs the detector mirrored, applies a homography to remove perspective skew and adds a radial correction for warped paper.

   r/MachineLearning · 🔥 4
2. 16h
   Fan recreates The Matrix Neo's apartment with Claude and Blender MCP

   Reddit user /u/Repulsive-Rush3505 posted a fan-made 3D recreation of Neo's apartment from The Matrix on r/ClaudeAI, along with a breakdown of the VFX workflow. The creator says the pipeline ran locally using Windows MCP and Blender MCP, and that the render was produced on an RTX 3070. The post offers only that self-reported description, invites questions from readers, and links to an earlier original post about the recreation.

   r/ClaudeAI · 🔥 3
3. 3d
   Alibaba's Qwen open-sources BlenderWorld, a 3D creation benchmark for visual agents

   According to IT之家 and DoNews, Alibaba's Qwen team open-sourced BlenderWorld on October 14, a benchmark for evaluating visual agents on real 3D creation tasks in Blender; it is under the MIT license, with code and dataset published on GitHub, Hugging Face and ModelScope. The benchmark contains 223 tasks and 2,651 criteria across 9 major categories and 22 subcategories, ranging from products and architecture to natural environments, characters, animation and scientific visualization, and it requires an editable .blend project file rather than just a rendered image. Evaluation renders submissions from 8 adaptive viewpoints and combines scene checks, task-specific binary criteria and 8 overall visual quality scores, weighting rule compliance and visual quality at 50% each; the project uses Blender 4.2.10 and requires Linux and Python 3.10 or later.

   IT之家 AI · 🔥 0
4. 3d
   MCP for Blender renames PyPI package and adds one-command installer

   The community project MCP for Blender, formerly blender-mcp, says its PyPI package is now mcp-for-blender. Existing setups keep working: uvx blender-mcp still runs the server and no config change is required, while new installs should use mcp-for-blender. The README describes a one-command installer that installs uv if needed, finds MCP clients on the machine — Claude Desktop, Claude Code, Codex, Cursor, VS Code, Devin Desktop/Windsurf, OpenCode and Antigravity — lets the user choose which to set up, then installs and enables the Blender addon. It says existing config is kept by adding a blender entry and saving a .bak of each changed file. The project describes prompt-assisted 3D modeling, scene creation and manipulation with an LLM, and states it is a third-party integration not made by Blender and not affiliated with the official Blender Foundation.

   GitHub Trending · Python · 🔥 0
5. 4d
   Developer builds playable 3D Little Prince game in 16 days with Opus 5.5

   Developer Sac unveiled The Little Prince: Across the Stars, a playable 3D story game, on X on October 13. According to Sac, the project took 16 days and combined Opus 5.5 with 3D model generator Tripo and 3D software Blender to turn each planet in the book into an explorable 3D scene; the game has its own website. The site lists eight language options including Chinese, English and Japanese, and notes the current version requires a WebGPU-capable browser. One player reported that after completing a watering task the W/S and A/D directions were reversed, with the trigger conditions unclear, and Sac said in the original post that the full game and a detailed production breakdown will be open-sourced later.

   36氪 人工智能 · 🔥 0
6. Oct 7
   OpenMontage ships as open-source agentic video production system

   OpenMontage has appeared on GitHub as a self-described first open-source, agentic video production system, bundling 12 production pipelines, 100+ tools and 700+ agent skill and production-knowledge files. It plugs into AI coding assistants such as Claude Code, Cursor, Copilot, Windsurf and Codex, letting an agent handle research, scripting, asset generation, editing and rendering using tools including Remotion, Blender, FFmpeg and Piper TTS. A local Backlot board turns the asset-generation contact sheet into an approval gate before the final render.

   GitHub Trending · Python · 🔥 0
7. Oct 7
   Claude Opus 5.5 and GPT-6 Astra push into video, testing video models' moats

   An industry analysis describes two ways general-purpose models are entering AI video from upstream: Anthropic's Claude Opus 5.5 (said to have launched Sept 22) writes front-end code — SVG, Canvas, Three.js, Remotion — renders frames and composites them with FFmpeg, spawning a creator-dubbed "Vibe Video" style; OpenAI's GPT-6 Astra (said to have launched Sept 3) acts as director-producer inside Blender, Unreal Engine and DaVinci Resolve, handling storyboards, previsualisation and rough cuts before handing rendering to video models such as Seedance. The piece says ByteDance's Jianying Hub, MiniMax Design and Kuaishou's Kling AI 4.0 and ikli are meanwhile pushing deeper into end-to-end creation workflows to defend their positions. View counts, API costs and an "80%-90% of AGI" claim in the article come from creators and bloggers and are unverified.

   创业邦 科技 · 🔥 0

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