Plenoxels: Radiance Fields without Neural Networks

kakaobrain/NeRF-Factory CVPR 2022

We introduce Plenoxels (plenoptic voxels), a system for photorealistic view synthesis.

0.57 stars / hour

High-Resolution Image Synthesis with Latent Diffusion Models

compvis/stable-diffusion CVPR 2022

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond.

Denoising Image Inpainting +3

0.43 stars / hour

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions

hust-linyi/seg_trick 21 Sep 2022

Over the past few years, the rapid development of deep learning technologies for computer vision has greatly promoted the performance of medical image segmentation (MedISeg).

Data Augmentation Domain Adaptation +3

0.43 stars / hour

Transformers in Time Series: A Survey

qingsongedu/time-series-transformers-review 15 Feb 2022

To the best of our knowledge, this paper is the first work to comprehensively and systematically summarize the recent advances of Transformers for modeling time series data.

Anomaly Detection Time Series

0.42 stars / hour

USB: A Unified Semi-supervised Learning Benchmark

microsoft/semi-supervised-learning 12 Aug 2022

Semi-supervised learning (SSL) improves model generalization by leveraging massive unlabeled data to augment limited labeled samples.

0.28 stars / hour

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

visual-attention-network/segnext 18 Sep 2022

Notably, SegNeXt outperforms EfficientNet-L2 w/ NAS-FPN and achieves 90. 6% mIoU on the Pascal VOC 2012 test leaderboard using only 1/10 parameters of it.

Semantic Segmentation

0.40 stars / hour
0.38 stars / hour

Diffusion Models: A Comprehensive Survey of Methods and Applications

YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy 2 Sep 2022

Diffusion models are a class of deep generative models that have shown impressive results on various tasks with a solid theoretical foundation.

Image Super-Resolution Text-to-Image Generation

0.34 stars / hour

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

milvus-io/milvus 1 Jul 2017

In this paper, to further improve the search-efficiency and scalability of graph-based methods, we start by introducing four aspects: (1) ensuring the connectivity of the graph; (2) lowering the average out-degree of the graph for fast traversal; (3) shortening the search path; and (4) reducing the index size.

0.34 stars / hour