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Google Introduces InseRF: Text-Driven Object Insertion Method for 3D Scenes

Analytics Vidhya

Google has introduced InseRF, a cutting-edge method for generative object insertion in 3D scenes. This novel technology, based on user-provided textual descriptions and a 2D bounding box, revolutionizes the landscape of 3D scene editing, overcoming existing challenges in generating new objects with precision and consistency.

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Moving Pictures: Transform Images Into 3D Scenes With NVIDIA Instant NeRF

NVIDIA

Even as a 2D image, the scene would be beautiful and inviting. Using Instant NeRF , creatives are transforming collections of still images into digital 3D scene s in just seconds. Using spatial location and volumetric rendering, a NeRF uses the camera pose from the images to render a 3D iteration of the scene.

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Revolutionizing 3D Scene Modeling with Generalized Exponential Splatting

Marktechpost

This limitation affects the quality of the rendered scenes and imposes a substantial memory footprint, making it less ideal for real-time applications. This innovation improves the rendering of sharp edges and high-frequency signals and enhances memory efficiency and rendering speed, marking a significant step forward in 3D scene modeling.

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GeFF: Revolutionizing Robot Perception and Action with Scene-Level Generalizable Neural Feature Fields

Marktechpost

This isn’t some sci-fi scene – it’s the cutting-edge technology of GeFF flexing its capabilities right before your eyes. Until now, even the most advanced robots have struggled to interpret and adapt to the endlessly varied real-world scenes reliably. So what exactly is this GeFF, you wonder?

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What’s Happening in Backpropagation? A Behind the Scenes Look at Deep Learning

Analytics Vidhya

A Behind the Scenes Look at Deep Learning appeared first on Analytics Vidhya. One of the important entities in forward propagation is weights. We saw how tuning the weights can take advantage of the non-linearity […]. The post What’s Happening in Backpropagation?

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Digital Renaissance: NVIDIA Neuralangelo Research Reconstructs 3D Scenes

NVIDIA

Neural Rendering Model Sees in 3D Prior AI models to reconstruct 3D scenes have struggled to accurately capture repetitive texture patterns, homogenous colors and strong color variations. The final result is a 3D object or large-scale scene that can be used in virtual reality applications, digital twins or robotics development.

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Researchers from the University of Tubingen Propose SIGNeRF: A Novel AI Approach for Fast and Controllable NeRF Scene Editing and Scene-Integrated Object Generation

Marktechpost

However, editing these scenes has been complex and cumbersome, often requiring intricate processes and yielding inconsistent results. The current landscape of NeRF scene editing involves a range of methods that, while effective in certain aspects, fall short of delivering precise and rapid modifications.