[HTML][HTML] Data augmentation: A comprehensive survey of modern approaches
A Mumuni, F Mumuni - Array, 2022 - Elsevier
To ensure good performance, modern machine learning models typically require large
amounts of quality annotated data. Meanwhile, the data collection and annotation processes …
amounts of quality annotated data. Meanwhile, the data collection and annotation processes …
Nerf: Neural radiance field in 3d vision, a comprehensive review
Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
Shap-e: Generating conditional 3d implicit functions
H Jun, A Nichol - arXiv preprint arXiv:2305.02463, 2023 - arxiv.org
We present Shap-E, a conditional generative model for 3D assets. Unlike recent work on 3D
generative models which produce a single output representation, Shap-E directly generates …
generative models which produce a single output representation, Shap-E directly generates …
3d neural field generation using triplane diffusion
Diffusion models have emerged as the state-of-the-art for image generation, among other
tasks. Here, we present an efficient diffusion-based model for 3D-aware generation of neural …
tasks. Here, we present an efficient diffusion-based model for 3D-aware generation of neural …
Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
We present a super-fast convergence approach to reconstructing the per-scene radiance
field from a set of images that capture the scene with known poses. This task, which is often …
field from a set of images that capture the scene with known poses. This task, which is often …
Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation
Diffusion models currently achieve state-of-the-art performance for both conditional and
unconditional image generation. However, so far, image diffusion models do not support …
unconditional image generation. However, so far, image diffusion models do not support …
Neural fields in visual computing and beyond
Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …
computing problems using methods that employ coordinate‐based neural networks. These …
Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2
I Skorokhodov, S Tulyakov… - Proceedings of the …, 2022 - openaccess.thecvf.com
Videos show continuous events, yet most--if not all--video synthesis frameworks treat them
discretely in time. In this work, we think of videos of what they should be--time-continuous …
discretely in time. In this work, we think of videos of what they should be--time-continuous …
Gaudi: A neural architect for immersive 3d scene generation
We introduce GAUDI, a generative model capable of capturing the distribution of complex
and realistic 3D scenes that can be rendered immersively from a moving camera. We tackle …
and realistic 3D scenes that can be rendered immersively from a moving camera. We tackle …
Advances in neural rendering
Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …
been the focus of decades of research. Traditionally, synthetic images of a scene are …