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cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Technical Report for SoccerNet Challenge 2022 -- Replay Grounding Task

Shimin Chen, Wei Li, Jiaming Chu +3

In order to make full use of video information, we transform the replay grounding problem into a video action location problem. We apply a unified network Faster-TAD proposed by us…