Most relevant results1000+ results in the last year.

NTIRE 2024 challenge on blind enhancement of compressed image: Methods and results

R Yang, R Timofte, B Li, X Li, M Guo, S Zhao, L Zhang…�- Proceedings of the IEEE�…, 2024
This paper reviews the Challenge on Blind Enhancement of Compressed Image at
NTIRE 2024 which aims at enhancing the quality of JPEG images which are
compressed with unknown quality factor. The challenge requires that the total size of�…

The ninth NTIRE 2024 efficient super-resolution challenge report

B Ren, Y Li, N Mehta, R Timofte, H Yu, C Wan, Y Hong…�- Proceedings of the IEEE�…, 2024
This paper provides a comprehensive review of the NTIRE 2024 challenge focusing
on efficient single-image super-resolution (ESR) solutions and their outcomes. The
task of this challenge is to super-resolve an input image with a magnification factor of�…

Aggregation-induced emission (AIE), life and health

H Wang, Q Li, P Alam, H Bai, V Bhalla, MR Bryce…�- ACS nano, 2023
Light has profoundly impacted modern medicine and healthcare, with numerous
luminescent agents and imaging techniques currently being used to assess health
and treat diseases. As an emerging concept in luminescence, aggregation-induced�…

Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

T Yi, J Fang, J Wang, G Wu, L Xie, X Zhang, W Liu…�- Proceedings of the IEEE�…, 2024
In recent times the generation of 3D assets from text prompts has shown impressive
results. Both 2D and 3D diffusion models can help generate decent 3D objects
based on prompts. 3D diffusion models have good 3D consistency but their quality�…

Qwen technical report

J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan…�- arXiv preprint arXiv�…, 2023
Large language models (LLMs) have revolutionized the field of artificial intelligence,
enabling natural language processing tasks that were previously thought to be
exclusive to humans. In this work, we introduce Qwen, the first installment of our�…

4d gaussian splatting for real-time dynamic scene rendering

G Wu, T Yi, J Fang, L Xie, X Zhang, W Wei, W Liu…�- Proceedings of the IEEE�…, 2024
Representing and rendering dynamic scenes has been an important but challenging
task. Especially to accurately model complex motions high efficiency is usually hard
to guarantee. To achieve real-time dynamic scene rendering while also enjoying�…

Generative multimodal models are in-context learners

Q Sun, Y Cui, X Zhang, F Zhang, Q Yu, Y Wang, Y Rao…�- Proceedings of the IEEE�…, 2024
Humans can easily solve multimodal tasks in context with only a few demonstrations
or simple instructions which current multimodal systems largely struggle to imitate. In
this work we demonstrate that by effectively scaling up generative multimodal models�…

The SRG/eROSITA all-sky survey-First X-ray catalogues and data release of the western Galactic hemisphere

A Merloni, G Lamer, T Liu, ME Ramos-Ceja, H Brunner…�- Astronomy & Astrophysics, 2024
The eROSITA telescope array aboard the Spektrum Roentgen Gamma (SRG)
satellite began surveying the sky in December 2019, with the aim of producing all-
sky X-ray source lists and sky maps of an unprecedented depth. Here we present�…

NTIRE 2024 restore any image model (RAIM) in the wild challenge

J Liang, R Timofte, Q Yi, S Liu, L Sun, R Wu, X Zhang…�- Proceedings of the IEEE�…, 2024
In this paper we review the NTIRE 2024 challenge on Restore Any Image Model
(RAIM) in the Wild. The RAIM challenge constructed a benchmark for image
restoration in the wild including real-world images with/without reference ground�…

Phase-dependent growth of Pt on MoS2 for highly efficient H2 evolution

Z Shi, X Zhang, X Lin, G Liu, C Ling, S Xi, B Chen, Y Ge…�- Nature, 2023
Crystal phase is a key factor determining the properties, and hence functions, of two-
dimensional transition-metal dichalcogenides (TMDs),. The TMD materials, explored
for diverse applications,,,,–, commonly serve as templates for constructing�…
See fewer
See more

No less relevant results in the last month.