Nerf: Neural radiance field in 3d vision, a comprehensive review

K Gao, Y Gao, H He, D Lu, L Xu, J Li - arXiv preprint arXiv:2210.00379, 2022 - arxiv.org
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 …

State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction

E Tretschk, N Kairanda, M BR, R Dabral… - Computer Graphics …, 2023 - Wiley Online Library
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …

3d neural field generation using triplane diffusion

JR Shue, ER Chan, R Po, Z Ankner… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Single-stage diffusion nerf: A unified approach to 3d generation and reconstruction

H Chen, J Gu, A Chen, W Tian, Z Tu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract 3D-aware image synthesis encompasses a variety of tasks, such as scene
generation and novel view synthesis from images. Despite numerous task-specific methods …

Att3d: Amortized text-to-3d object synthesis

J Lorraine, K Xie, X Zeng, CH Lin… - Proceedings of the …, 2023 - openaccess.thecvf.com
Text-to-3D modelling has seen exciting progress by combining generative text-to-image
models with image-to-3D methods like Neural Radiance Fields. DreamFusion recently …

Advances in neural rendering

A Tewari, J Thies, B Mildenhall… - Computer Graphics …, 2022 - Wiley Online Library
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 …

Gaudi: A neural architect for immersive 3d scene generation

MA Bautista, P Guo, S Abnar… - Advances in …, 2022 - proceedings.neurips.cc
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 …

Neuman: Neural human radiance field from a single video

W Jiang, KM Yi, G Samei, O Tuzel, A Ranjan - European Conference on …, 2022 - Springer
Photorealistic rendering and reposing of humans is important for enabling augmented reality
experiences. We propose a novel framework to reconstruct the human and the scene that …

Instantavatar: Learning avatars from monocular video in 60 seconds

T Jiang, X Chen, J Song… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
In this paper, we take one step further towards real-world applicability of monocular neural
avatar reconstruction by contributing InstantAvatar, a system that can reconstruct human …

D^ 2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video

T Wu, F Zhong, A Tagliasacchi… - Advances in neural …, 2022 - proceedings.neurips.cc
Given a monocular video, segmenting and decoupling dynamic objects while recovering the
static environment is a widely studied problem in machine intelligence. Existing solutions …