A woman wearing a loose-fitting white blouse with ruffled sleeves, paired with high-waisted, wide-leg navy blue pants and black ankle-strap stiletto heels.

Current deep networks are very data-hungry and benefit from training on large-scale datasets, which are often time-consuming to collect and annotate.

Finally, to avoid trivial solutions and stabilize model training, we introduce a simple origin-guided loss. To validate the effectiveness ofour proposed method, we conducted experiments on tasks including image deraining, denoising, deblurring, and low-light image enhancement.

In recommender systems, the collected data used for training is always subject to selection bias, which poses a great challenge for unbiased learning.

Despitethehighdemand,high-quality 3D content remains relatively scarce.