Fake3DGS benchmark shows state-of-the-art 2D fake detectors fail on 3D-manipulated Gaussian Splatting images while a new multi-view coherence method improves detection.
arXiv preprint arXiv:2206.14617 (2022)
3 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
GEOPHYS defines five geometric properties of per-frame embeddings from image encoders that detect physical implausibility in videos with SOTA accuracy and serve as an efficient verifier.
Color transformations expose statistical discrepancies in synthetic images, supporting a classifier with 93.27% average accuracy and robustness to post-processing.
citing papers explorer
-
Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering
Fake3DGS benchmark shows state-of-the-art 2D fake detectors fail on 3D-manipulated Gaussian Splatting images while a new multi-view coherence method improves detection.
-
GEOPHYS: The Geometry of Physical Plausibility
GEOPHYS defines five geometric properties of per-frame embeddings from image encoders that detect physical implausibility in videos with SOTA accuracy and serve as an efficient verifier.
-
Chroma Clues: Leveraging Color Statistics to Detect Synthetic Images
Color transformations expose statistical discrepancies in synthetic images, supporting a classifier with 93.27% average accuracy and robustness to post-processing.