On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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7 results for “NeRF”

NeRF-VAE: A Geometry Aware 3D Scene Generative Modelstat.ML

NeRF-VAE generates 3D scenes with geometric structure from few images.

problem Generating 3D scenes from few images with geometric consistency.

method Combines NeRF and VAE, incorporating shared geometric structure.

result NeRF-VAE can infer and render geometrically-consistent scenes from unseen environments.

NeRF VAE 3D scene generation geometry few images

2021-04-01abs ↗pdf ↗

ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRFcs.CV

ED-NeRF efficiently edits 3D scenes using latent space NeRF and improved loss functions.

problem Slow training speeds and inadequate editing loss functions in existing NeRF editing techniques.

method Embedding real-world scenes into latent space of LDM, using a unique refinement layer and an improved loss function.

result ED-NeRF achieves faster editing speed and improved output quality compared to state-of-the-art models.

3D NeRF editing latent space latent diffusion model loss function text-guided editing

2023-10-04abs ↗pdf ↗

Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representationcs.CV

Proposes a model to generate 3D-aware images from 2D images.

problem Generating 3D-aware images from 2D images.

method Likelihood-based top-down model using Neural Radiance Fields and energy-based latent variables.

result Model can infer 3D object structures from 2D images and generate novel views.

NeRF Radiance Fields Energy-based Models 3D-Aware Image Generation

2023-04-16abs ↗pdf ↗

Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentationcs.CV

ObSuRF converts a single image into a 3D model with NeRFs.

problem Creating a 3D model from a single image with object segmentation.

method Unsupervised volume segmentation using Neural Radiance Fields (NeRFs).

result ObSuRF can segment a 3D scene into objects from a single image.

3D modeling Neural Radiance Fields Unsupervised learning Object segmentation Volume segmentation

2021-04-02abs ↗pdf ↗

DreamFusion: Text-to-3D using 2D Diffusioncs.CV

DreamFusion uses text-to-image diffusion models to create 3D images efficiently.

problem Lack of large-scale 3D datasets and efficient architectures for 3D synthesis.

method Adapting a 2D diffusion model to 3D synthesis using a loss based on probability density distillation.

result A 3D model can be optimized from a 2D diffusion model, allowing for text-to-3D synthesis.

text-to-image diffusion models 3D synthesis NeRF probabilistic distillation

2022-09-29abs ↗pdf ↗

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscs.CV

StyleNeRF generates high-resolution images with 3D consistency and style control.

problem Generating high-resolution images with fine details and 3D consistency.

method Integrates NeRF into a style-based generator for efficient high-resolution image synthesis.

result Synthesizes high-resolution images at interactive rates with high 3D consistency and style control.

NeRF 3D-Aware Image Synthesis High-Resolution Style Control

2021-10-18abs ↗pdf ↗

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpointscs.CV

ViewFool identifies adversarial viewpoints to test image recognition robustness.

problem Lack of robustness to viewpoint changes in visual recognition models.

method Neural Radiance Fields (NeRF) and entropic regularizer to find adversarial viewpoints.

result Common image classifiers are highly vulnerable to generated adversarial viewpoints.

viewpoint robustness adversarial viewpoints visual recognition image classifiers Neural Radiance Fields

2022-10-08abs ↗pdf ↗