NeuRenderedFake
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资源简介:
A Large Dataset of Neural-rendered Fake Images: Using NeRF- and 3DGS-based neural rendering techniques, we generate a variety of realistic 3D scene representations and render 2D fake images from them. Additionally, we synthesize fake images containing compound artifacts by integrating generative models with neural rendering technologies. In contrast to existing databases that focus exclusively on fake images from generative models like GAN and DM, our diverse collection expands the scope of fake image detection, being the first in its inclusion of images derived from neural rendering-based synthesized/edited 3D scenes.
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Harvard Dataverse创建时间:
2025-05-14



