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Nerf: Neural radiance field in 3d vision, a comprehensive review
Neural Radiance Field (NeRF) has recently become a significant development in the field of
Computer Vision, allowing for implicit, neural network-based scene representation and …
Computer Vision, allowing for implicit, neural network-based scene representation and …
Incorporating physics into data-driven computer vision
Many computer vision techniques infer properties of our physical world from images.
Although images are formed through the physics of light and mechanics, computer vision …
Although images are formed through the physics of light and mechanics, computer vision …
[PDF][PDF] 3d gaussian splatting for real-time radiance field rendering.
[CS482] 3D Gaussian Splatting for Real-Time Radiance Field Rendering Page 1 3D Gaussian
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …
Instruct-nerf2nerf: Editing 3d scenes with instructions
We propose a method for editing NeRF scenes with text-instructions. Given a NeRF of a
scene and the collection of images used to reconstruct it, our method uses an image …
scene and the collection of images used to reconstruct it, our method uses an image …
pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction
We introduce pixelSplat a feed-forward model that learns to reconstruct 3D radiance fields
parameterized by 3D Gaussian primitives from pairs of images. Our model features real-time …
parameterized by 3D Gaussian primitives from pairs of images. Our model features real-time …
Generative novel view synthesis with 3d-aware diffusion models
We present a diffusion-based model for 3D-aware generative novel view synthesis from as
few as a single input image. Our model samples from the distribution of possible renderings …
few as a single input image. Our model samples from the distribution of possible renderings …
Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation
We introduce GRM, a large-scale reconstructor capable of recovering a 3D asset from
sparse-view images in around 0.1 s. GRM is a feed-forward transformer-based model that …
sparse-view images in around 0.1 s. GRM is a feed-forward transformer-based model that …
Merf: Memory-efficient radiance fields for real-time view synthesis in unbounded scenes
Neural radiance fields enable state-of-the-art photorealistic view synthesis. However,
existing radiance field representations are either too compute-intensive for real-time …
existing radiance field representations are either too compute-intensive for real-time …
A survey on 3d gaussian splatting
3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm
of explicit radiance field and computer graphics. This innovative approach, characterized by …
of explicit radiance field and computer graphics. This innovative approach, characterized by …
Lion: Latent point diffusion models for 3d shape generation
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …