7 papers · 1 filter
DrawMotion: Generating 3D Human Motions by Freehand Drawing
Tao Wang, Lei Jin, Zhihua Wu +7
Text-to-motion generation, which translates textual descriptions into human motions, faces the challenge that users often struggle to precisely convey their intended motions throug…
Distilling Latent Manifolds: Resolution Extrapolation by Variational Autoencoders
Jiaming Chu, Tao Wang, Lei Jin
Variational Autoencoder (VAE) encoders play a critical role in modern generative models, yet their computational cost often motivates the use of knowledge distillation or quantific…
Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection
Yuchu Jiang, Jiaming Chu, Jian Zhao +5
The proliferation of generative models has raised serious concerns about visual content forgery. Existing deepfake detection methods primarily target either image-level classificat…
StickMotion: Generating 3D Human Motions by Drawing a Stickman
Tao Wang, Zhihua Wu, Qiaozhi He +6
Text-to-motion generation, which translates textual descriptions into human motions, has been challenging in accurately capturing detailed user-imagined motions from simple text in…
DiffBrush:Just Painting the Art by Your Hands
Jiaming Chu, Lei Jin, Tao Wang +2
The rapid development of image generation and editing algorithms in recent years has enabled ordinary user to produce realistic images. However, the current AI painting ecosystem p…
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
Daiheng Gao, Shilin Lu, Shaw Walters +8
Removing unwanted concepts from large-scale text-to-image (T2I) diffusion models while maintaining their overall generative quality remains an open challenge. This difficulty is es…