SEAL changes 5% of face pixels to block diffusion identity cloning
On CelebA-HQ and VGGFace2, protected images stay above 41 dB PSNR while identity similarity falls to at most 0.15.
10 stories, newest first · one card per story
On CelebA-HQ and VGGFace2, protected images stay above 41 dB PSNR while identity similarity falls to at most 0.15.
The small variant uses a frozen Tiny-VAE and Terminal Velocity Matching at 34 GFLOPs and one function evaluation.
It beats the strongest baseline tokenizer by 2.19 points and FLUX.1-VAE small-text accuracy by 16.93 points.
A spatiotemporal VAE reports about 2.48 mm reconstruction error at up to 78x token compression.
PIP improves zero-shot multi-agent coordination when partners are intermittently out of view.
Empirical VAE learns autoregressive latent priors with one linear layer, matching diffusion quality at faster inference.
SILSA generates high-resolution 3D shapes from sliding-window slice latents, using far fewer tokens and improving topology.
SILSA generates high-resolution 3D shapes from compact slice latents while preserving topology and cutting token cost.
Tex-Zero trains native 3D texture models from constructed 2D image planes, without real 3D assets.
TransNormal-2 improves monocular surface-normal estimation by fixing VAE edge degradation with geometry-aware losses and refinement, matching MoGe-2 with 1.4% of annotations.
Today 1.5K readers · 2.4K views · 754 reads · all time 189K views