单调女
发表于 2025-3-25 06:42:34
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multiply
发表于 2025-3-25 10:07:46
Mayank Gautam,Xian-hong Ge,Zai-yun Liusing style transfer techniques. To protect styles, some researchers use adversarial attacks to safeguard artists’ artistic style images. Prior methods only considered defending against all style transfer models, but artists may allow specific models to transfer their artistic styles properly. To me
VALID
发表于 2025-3-25 15:30:32
C. Toker,B. Uzun,F. O. Ceylan,C. Iktene for many settings, as they compute self-attention in each layer which suffers from quadratic computational complexity in the number of tokens. On the other hand, spatial information in images and spatio-temporal information in videos is usually sparse and redundant. In this work, we introduce Look
DRAFT
发表于 2025-3-25 15:55:38
Adversarial Diffusion Distillation,nalyses show that our model clearly outperforms existing few-step methods (GANs, Latent Consistency Models) in a single step and reaches the performance of state-of-the-art diffusion models (SDXL) in only four steps. ADD is the first method to unlock single-step, real-time image synthesis with foundation models.
GROWL
发表于 2025-3-25 20:23:46
Conference proceedings 2025nt learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..
Substance-Abuse
发表于 2025-3-26 03:15:49
Second Language Learning and Teachingnalyses show that our model clearly outperforms existing few-step methods (GANs, Latent Consistency Models) in a single step and reaches the performance of state-of-the-art diffusion models (SDXL) in only four steps. ADD is the first method to unlock single-step, real-time image synthesis with foundation models.
TEN
发表于 2025-3-26 07:35:26
Crittografia e Interazioni affidabilirior performance of our approach in comparison to conventional positional encoding on a variety of datasets, ranging from synthetic 2D to large-scale real-world datasets of images, 3D shapes, and animations.
anniversary
发表于 2025-3-26 11:52:39
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motivate
发表于 2025-3-26 13:34:55
Conference proceedings 2025uter Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforceme
Exaggerate
发表于 2025-3-26 19:01:08
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