Nano3D revolutionizes 3D asset editing by enabling training-free, part-level shape modifications like removal, addition, and replacement without any manual masks. Developed by researchers from Tsinghua University, Peking University, HKUST, CASIA, and ShengShu, Nano3D bridges the gap between text-driven 2D editing and 3D object manipulation. Unlike existing 3D editing methods that require time-consuming optimization or mask…
Triangle Splatting+ redefines 3D scene reconstruction and rendering by directly optimizing opaque triangles, the fundamental primitive of computer graphic, in a fully differentiable framework. Unlike Gaussian Splatting or NeRF-based approaches, it delivers real-time, game-engine-ready meshes without post-processing, enabling instant compatibility with engines like Unity or Unreal. Developed by researchers from the University of Liège, Simon…
Code2Video introduces a revolutionary framework for generating professional educational videos directly from executable Python code. Unlike pixel-based diffusion or text-to-video models, Code2Video treats code as the core generative medium, enabling precise visual control, transparency, and interpretability in long-form educational content. Developed by Show Lab (National University of Singapore), the system coordinates three collaborative agents, namely:…
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…
Test3R is a novel and simple test-time learning technique that significantly improves 3D reconstruction quality. Unlike traditional pairwise methods such as DUSt3R, which often suffer from geometric inconsistencies and poor generalization, Test3R leverages image triplets and self-supervised optimization at inference to enforce cross-pair consistency. This makes it both robust and cost-efficient, requiring minimal overhead while delivering…
BlenderFusion is a novel framework that merges 3D graphics editing with diffusion models to enable precise, 3D-aware visual compositing. Unlike prior approaches that struggle with multi-object and camera disentanglement, BlenderFusion leverages Blender for fine-grained control and a diffusion-based compositor for realism, bringing unprecedented flexibility to scene editing and generative compositing. Key Highlights: 3D-Grounded Control: Segments…
Removing backgrounds from images is a common task in design and computer vision. Whether you’re prepping product shots, creating profile pictures, or building visual datasets, automating this process can save hours of manual work. In this blog, we will walk you through building a batch background removal tool using OpenCV. It’s fast, scalable, and outputs…
The Google DeepMind team has unveiled its latest evolution in their family of open models – Gemma 3, and it’s a monumental leap forward. While the AI space is crowded with updates, Gemma 3 isn’t just an incremental improvement; it’s a fundamental upgrade that makes state-of-the-art AI more powerful and accessible. Built on the same…
Thursday on OpenCV Live! we’ve got author and data scientist Kristen Kerher who will tell us about how her interest in computer vision led to writing a children’s book about using CV to let her kids know when the school bus was coming down their street. She holds a Master of Science degree in Applied…
The OpenCV Community Survey for 2025 is open, and we’re asking for your participation! It’s a short, focused online survey open to the entire OpenCV community that will take just a few minutes to complete. Your answers to the survey questions are important to the future of OpenCV. Please help the OpenCV project and take…