Generative novel view synthesis with 3d-aware diffusion models

ER Chan, K Nagano, MA Chan… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Neural fields in visual computing and beyond

Y Xie, T Takikawa, S Saito, O Litany… - Computer Graphics …, 2022 - Wiley Online Library
Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

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 …

pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis

ER Chan, M Monteiro, P Kellnhofer… - Proceedings of the …, 2021 - openaccess.thecvf.com
We have witnessed rapid progress on 3D-aware image synthesis, leveraging recent
advances in generative visual models and neural rendering. Existing approaches however …

Learning continuous image representation with local implicit image function

Y Chen, S Liu, X Wang - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
How to represent an image? While the visual world is presented in a continuous manner,
machines store and see the images in a discrete way with 2D arrays of pixels. In this paper …

Light field networks: Neural scene representations with single-evaluation rendering

V Sitzmann, S Rezchikov, B Freeman… - Advances in …, 2021 - proceedings.neurips.cc
Inferring representations of 3D scenes from 2D observations is a fundamental problem of
computer graphics, computer vision, and artificial intelligence. Emerging 3D-structured …

Neat: Neural attention fields for end-to-end autonomous driving

K Chitta, A Prakash, A Geiger - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Efficient reasoning about the semantic, spatial, and temporal structure of a scene is a crucial
prerequisite for autonomous driving. We present NEural ATtention fields (NEAT), a novel …

Eagles: Efficient accelerated 3d gaussians with lightweight encodings

S Girish, K Gupta, A Shrivastava - European Conference on Computer …, 2025 - Springer
Abstract Recently, 3D Gaussian splatting (3D-GS) has gained popularity in novel-view
scene synthesis. It addresses the challenges of lengthy training times and slow rendering …

Bacon: Band-limited coordinate networks for multiscale scene representation

DB Lindell, D Van Veen, JJ Park… - Proceedings of the …, 2022 - openaccess.thecvf.com
Coordinate-based networks have emerged as a powerful tool for 3D representation and
scene reconstruction. These networks are trained to map continuous input coordinates to the …