Embodied agents benefit from 3D environments that combine visual fidelity to real-world observations with physical interactivity. Existing single-image tabletop reconstruction methods recover plausible scene geometry but typically represent objects as monolithic rigid bodies, limiting interaction to whole-object rigid...
Vorch-Human is presented, a unified human-centric generation framework built on a dual-stream audio-video diffusion transformer that augments the conventional noisy audio/noisy video interface with clean condition-audio and condition-video token groups and adapts to long-form audio-driven generation by training with cl...
A comprehensive survey is presented that jointly organizes single-task and AiO restoration models from the perspectives of network architectures and learning paradigms and summarizes benchmark results of representative methods on public datasets to analyze their performance and generalization ability.
All-in-one Image Restoration (AIR) seeks to address diverse degradations using a unified model trained only once. Existing methods often rely on degradation-specific guidance, leading to conflicting gradients during training. In contrast, diffusion models offer a promising alternative by operating in a high-noise space...
Jia-Wei Wu, Luwei Tu, Zhe Wang et al.· IEEE Transactions on Image P...· 0 citations
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