Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
📰 ArXiv cs.AI
Learn to insert 3D objects into images with control over pose using Decomposed Visual Proxies and DIRECT framework
Action Steps
- Implement the DIRECT framework to decompose visual proxies for 3D object insertion
- Use diffusion-based methods as a baseline for comparison with DIRECT
- Configure the framework to control the 3D pose of the inserted object
- Test the framework on various background images and objects
- Evaluate the visual quality of the inserted objects using metrics such as PSNR and SSIM
Who Needs to Know This
Computer vision engineers and researchers can benefit from this technique to improve object insertion in images, enhancing the realism of composite images.
Key Insight
💡 Decomposed Visual Proxies enable explicit control over the 3D pose of inserted objects, improving the realism of composite images
Share This
Insert 3D objects into images with ease and control using Decomposed Visual Proxies and DIRECT framework! #computerVision #objectInsertion
Key Takeaways
Learn to insert 3D objects into images with control over pose using Decomposed Visual Proxies and DIRECT framework
Full Article
Title: Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
Abstract:
arXiv:2606.06601v1 Announce Type: cross Abstract: Object insertion aims to seamlessly composite a reference object into a specified region of a background image. Recent diffusion-based methods achieve high visual quality but formulate insertion as a simple 2D inpainting task, providing no explicit control over the object's 3D pose and limiting their practical applicability. We propose DIRECT (Decomposed Injection for Reference Composition and Target-integration), a novel framework that integrate
Abstract:
arXiv:2606.06601v1 Announce Type: cross Abstract: Object insertion aims to seamlessly composite a reference object into a specified region of a background image. Recent diffusion-based methods achieve high visual quality but formulate insertion as a simple 2D inpainting task, providing no explicit control over the object's 3D pose and limiting their practical applicability. We propose DIRECT (Decomposed Injection for Reference Composition and Target-integration), a novel framework that integrate
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