3D Gaussian Splatting has achieved remarkable progress in real-time scene rendering, yet existing methods are predominantly tailored to a single camera model, typically the pinhole camera, which limits their applicability to images captured by heterogeneous devices. In this paper, we introduce CDR-GS, the unified 3DGS...
Yuan-Ze Wang, Dian-Xi Shi, Luo-Xi Jing et al.· 0 citations
FlowGDA is proposed, a flow-matching framework that models gradual adaptation as continuous transport on a statistical manifold in a representation space and outperforms state-of-the-art techniques, validating flow matching as an effective alternative for domain adaptation.
Yu-Bo Huang, Yu-She Cao, Zi-Xi Wang et al.· 0 citations
This work proposes EC\textsuperscript{2}Face, a multimodal face synthesis framework that improves semantic alignment through explicit semantic supervision and distribution-aware optimization, and introduces Explicit Conditional Consistency Guidance (ECCG), which imposes direct consistency supervision in pixel space.
Yu-She Cao, Xue-Chao Zou, Xing Xi et al.· 0 citations
Video-HolmesV2 is presented, a novel benchmark designed for Deep Audio-Visual Coupling that enforces an Evidence-Based Evaluation, requiring models to justify answers with precise spatio-temporal audio-visual evidence, thereby reducing confounding effects of guessing and hallucinated evidence.
Zhao-Yang Wei, Zi-Peng Wang, Yu-She Cao et al.· 0 citations
LaP-Forensics is presented, a multimodal framework that augments RGB semantics with reconstruction-based forensic evidence that supports the utility of the residual stream under the evaluated settings, while free-form textual faithfulness and reliability under post-processing remain open limitations.
Can Wang, Yuhao Wang, Yu-She Cao et al.· arXiv.org· 1 citation
UniVVT is presented, a unified end-to-end framework that reframes VVT as semantically conditioned video generation, eliminating mask, pose, and warping modules at inference and validating implicit semantic guidance as a simple and effective alternative to fragile geometric preprocessing for end-to-end virtual try-on.
Yu-She Cao, Shikun Feng, Fei Shen et al.· 0 citations
LiveVVT is introduced, a rolling streaming diffusion framework that preserves bounded bidirectional modeling within causal recurrent generation, and a progressive distillation framework integrating bidirectional VVT learning, teacher-trajectory regression for causal few-step adaptation, and Collaborative Matching Disti...
Yu-She Cao, Shi-Kun Feng, Ru-Xiang Duan et al.· 0 citations
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