Call for Participation: CVPR'23 New Trends in Image Restoration and Enhancement (NTIRE) challenges

[Radu Timofte]

We cordially invite you to participate in our

CVPR'24: 9th New Trends in Image Restoration and Enhancement (NTIRE) challenges:

• Dense and Non-Homogeneous Dehazing

• Night Photography Rendering

• Blind Compressed Image Enhancement

• Shadow Removal - Track 1 Fidelity

• Shadow Removal - Track 2 Perceptual

• Efficient Super Resolution
  

• Image Super Resolution (x4)

• Light Field Image Super-Resolution - Track 1 Fidelity

• Light Field Image Super-Resolution - Track 2 Efficiency

• Stereo Image Super-Resolution - Track 1 Bicubic

• Stereo Image Super-Resolution - Track 2 Realistic

• HR Depth from Images of Specular and Transparent Surfaces - Track 1 Stereo

• HR Depth from Images of Specular and Transparent Surfaces - Track 2 Mono

• Bracketing Image Restoration and Enhancement - Track 1

• Bracketing Image Restoration and Enhancement - Track 2

• Portrait Quality Assessment

• Quality Assessment for AI-Generated Content - Track 1 Image

• Quality Assessment for AI-Generated Content - Track 2 Video

• Restore Any Image Model (RAIM) in the Wild

• RAW Image Super-Resolution

• Short-form UGC Video Quality Assessment
  

• Low Light Enhancement

To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the above challenge pages and the NTIRE 2024 web page:

https://cvlai.net/ntire/2024/

● Competitions end: March 14, 2024

Contact: radu.t...@uni-wuerzburg.de