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20142024
most citedStyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

61 citations · 84 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023

On Offline Evaluation of 3D Object Detection for Autonomous Driving

Tim Schreier, Katrin Renz, Andreas Geiger +1

Prior work in 3D object detection evaluates models using offline metrics like average precision since closed-loop online evaluation on the downstream driving task is costly. Howeve…

cs.CV2023

Towards Scalable Multi-View Reconstruction of Geometry and Materials

Carolin Schmitt, Božidar Antić, Andrei Neculai +2

In this paper, we propose a novel method for joint recovery of camera pose, object geometry and spatially-varying Bidirectional Reflectance Distribution Function (svBRDF) of 3D sce…

cs.CV20234 cited

AG3D: Learning to Generate 3D Avatars from 2D Image Collections

Zijian Dong, Xu Chen, Jinlong Yang +3

While progress in 2D generative models of human appearance has been rapid, many applications require 3D avatars that can be animated and rendered. Unfortunately, most existing meth…

cs.CV20234 cited

MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes

Christian Reiser, Richard Szeliski, Dor Verbin +5

Neural radiance fields enable state-of-the-art photorealistic view synthesis. However, existing radiance field representations are either too compute-intensive for real-time render…

cs.CV20237 cited

NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM

Zihan Zhu, Songyou Peng, Viktor Larsson +4

Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, previous works in this direc…

cs.LG202361 cited

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

Axel Sauer, Tero Karras, Samuli Laine +2

Text-to-image synthesis has recently seen significant progress thanks to large pretrained language models, large-scale training data, and the introduction of scalable model familie…