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ENTITY NTIRE 2026

NTIRE 2026

PulseAugur coverage of NTIRE 2026 — every cluster mentioning NTIRE 2026 across labs, papers, and developer communities, ranked by signal.

Total · 30d
12
12 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
12
12 over 90d
TIER MIX · 90D
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 8 TOTAL
  1. TOOL · CL_22378 ·

    NTIRE 2026 challenge showcases top methods for controllable bokeh rendering

    The first Controllable Bokeh Rendering Challenge, held as part of NTIRE 2026, saw 44 participants register, with 8 teams submitting valid solutions. The competition evaluated methods on portraits and complex subjects wi…

  2. RESEARCH · CL_20319 ·

    GTF Transformer enhances light field super-resolution with omnidirectional EPI modeling

    Researchers have developed GTF, an omnidirectional EPI Transformer designed for light field image super-resolution. This new model explicitly incorporates diagonal epipolar geometry, which was previously underexplored i…

  3. TOOL · CL_26987 ·

    Omnidirectional EPI Transformer boosts light field image super-resolution

    Researchers have developed a new omnidirectional EPI Transformer model called GTF to improve light field image super-resolution. This model explicitly incorporates diagonal epipolar geometry, which was previously undere…

  4. RESEARCH · CL_10157 ·

    NTIRE 2026 challenge showcases robust 3D reconstruction under adverse conditions

    This paper details the results of the NTIRE 2026 3D Restoration and Reconstruction Challenge, which focused on developing robust 3D reconstruction methods for challenging real-world conditions like low light and smoke. …

  5. RESEARCH · CL_08599 ·

    NTIRE 2026 challenge tackles rip current detection and segmentation

    The NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge focused on developing AI systems to automatically identify hazardous rip currents in images. This safety-critical problem is challenging due to…

  6. RESEARCH · CL_06591 ·

    Researchers improve image denoising with data-centric training and self-ensemble

    Researchers have developed a new approach for Gaussian color image denoising, focusing on data-centric training and self-ensemble techniques rather than novel model architectures. By expanding the training dataset with …

  7. RESEARCH · CL_02901 ·

    New AI models enhance image and video super-resolution with diffusion and efficient architectures

    Researchers are developing new methods for image and video super-resolution using advanced AI techniques. Several papers explore diffusion models for joint spatiotemporal super-resolution, enabling adaptation across dif…

  8. RESEARCH · CL_02936 ·

    NTIRE 2026 Challenge advances remote sensing infrared image super-resolution

    Researchers have developed a dual-branch system for enhancing the resolution of remote sensing infrared images, combining a HAT-L branch with a MambaIRv2-L branch. This approach addresses the unique challenges of therma…