FaceForensics++
Introduced by Rössler et al. in FaceForensics++: Learning to Detect Manipulated Facial Images
FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation methods: Deepfakes, Face2Face, FaceSwap and NeuralTextures. The data has been sourced from 977 youtube videos and all videos contain a trackable mostly frontal face without occlusions which enables automated tampering methods to generate realistic forgeries.
Source: https://github.com/ondyari/FaceForensicsBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
FaceForensics++
|
DeepFaceLab
|
|||
|
FaceForensics++
|
EfficientNetB4 + EfficientNetB4ST + B4Att + B4AttST
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
