Real-Time 3D Scene Generation and Editing Innovations

Advances in Controllable and Real-Time 3D Scene Generation and Editing

Recent developments in the field of 3D scene generation and editing have significantly advanced the ability to create, manipulate, and interact with 3D environments in real-time. The focus has shifted towards frameworks that offer greater flexibility, adaptability, and precision, moving away from traditional methods that often require predefined datasets or extensive retraining. Innovations in generative AI and diffusion models have enabled more intuitive and controllable editing processes, allowing for dynamic adjustments and temporal modeling within 3D scenes. Additionally, advancements in virtual reality (VR) have introduced more natural and immersive methods for 3D modeling, enhancing user interaction and creative potential. These trends collectively push the boundaries of what is possible in 3D content creation, making it more accessible and efficient for a variety of applications.

Noteworthy Developments

  • GraphCanvas3D: Introduces a programmable framework for dynamic 3D scene generation, supporting 4D temporal dynamics.
  • 3DSceneEditor: Proposes a fully 3D-based paradigm for real-time, precise editing using Gaussian Splatting.
  • CTRL-D: Offers a novel framework for controllable dynamic 3D scene editing with personalized 2D diffusion.

Sources

Graph Canvas for Controllable 3D Scene Generation

Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects

VR-Doh: Hands-on 3D Modeling in Virtual Reality

3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting

CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion

SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation

Viewpoint Consistency in 3D Generation via Attention and CLIP Guidance

Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation

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