19 papers
A Bayesian Proof of the Bernoulli Theorem
Jingbo Liu, Ilias Zadik
We give a new proof of the Bernoulli theorem, conjectured by Talagrand and proved in the seminal work of Bednorz and Latała. Our approach is based on information-theoretic ideas: l…
How Far Are We from Generating Missing Modalities with Foundation Models?
Guanzhou Ke, Bo Wang, Guoqing Chao +2
Multimodal foundation models have demonstrated impressive capabilities across diverse tasks. However, their potential as plug-and-play solutions for missing modality reconstruction…
Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
Luigi Sigillo, Shengfeng He, Danilo Comminiello
High-resolution image synthesis remains a core challenge in generative modeling, particularly in balancing computational efficiency with the preservation of fine-grained visual det…
MotionAdapter: Video Motion Transfer via Content-Aware Attention Customization
Zhexin Zhang, Yangyang Xu, Yifeng Zhu +4
Recent advances in diffusion-based text-to-video models, particularly those built on the diffusion transformer architecture, have achieved remarkable progress in generating high-qu…
NimbusGS: Unified 3D Scene Reconstruction under Hybrid Weather
Yanying Li, Jinyang Li, Shengfeng He +3
We present NimbusGS, a unified framework for reconstructing high-quality 3D scenes from degraded multi-view inputs captured under diverse and mixed adverse weather conditions. Unli…
OmniVTON++: Training-Free Universal Virtual Try-On with Principal Pose Guidance
Zhaotong Yang, Yong Du, Shengfeng He +5
Image-based Virtual Try-On (VTON) concerns the synthesis of realistic person imagery through garment re-rendering under human pose and body constraints. In practice, however, exist…