Human-centric audio-visual generation spans several closely related tasks: animating a person from driving speech, jointly generating speech and video from a voice reference, and synthesizing a scene from paired appearance and voice references. Existing systems commonly solve these tasks with separate models, even thou...
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...
Jiawei Wu, Luwei Tu, Zhe Wang et al.· IEEE Transactions on Image P...· 0 citations
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