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Li Yuan

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Preprint Oct 2026

FADE: Frame-Aware Diffusion-Transformer-based Multi-Concept Erasure for Video Unlearning

Text-to-video (T2V) diffusion models can reproduce copyrighted, violent, or explicit content, which motivates concept erasure: removing designated concepts from a pretrained model while preserving its behavior on everything else. Existing T2V erasure methods leave two problems open. Their frame-agnostic suppression can...

Yu-Chen Li, Kai-Yuan Deng, Chaoran Feng et al. · 0 citations
Preprint Aug 2026

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models

UniWorld-View is introduced, a unified framework for controllable large-baseline novel view synthesis from monocular inputs that integrates explicit 3D guidance with generative diffusion modeling to enable precise camera control and geometrically consistent view generation.

Hai-Yang Zhou, Wang-Bo Yu, Chaoran Feng et al. · 2 citations
Jul 2026

MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

The key idea is to progressively densify anchored VecSet latents via hierarchical point-shuffle upsampling, increasing spatial capacity for fine-grained geometry modeling and replacing global cross-attention with AVS-Conv, a geometry-aware local aggregation operator operating within local neighborhoods rather than the...

Dehao Hao, Kaiyi Zhang, Tanghui Jia et al. · 0 citations

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