DiSI disentangles stochastic interpolants into separate generation and regression paths, allowing controllable transitions between regression and generative image restoration with a unified few-step sampler.
IEEE transactions on pattern analysis and machine intelligence45(4), 4713–4726 (2022)
2 Pith papers cite this work. Polarity classification is still indexing.
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Generative dictionary retrieval decodes unseen Oracle Bone Script characters at 54.3% Top-10 accuracy by synthesizing plausible variants guided by character evolution principles.
citing papers explorer
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Disentangling Generation and Regression in Stochastic Interpolants for Controllable Image Restoration
DiSI disentangles stochastic interpolants into separate generation and regression paths, allowing controllable transitions between regression and generative image restoration with a unified few-step sampler.
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Decoding Ancient Oracle Bone Script via Generative Dictionary Retrieval
Generative dictionary retrieval decodes unseen Oracle Bone Script characters at 54.3% Top-10 accuracy by synthesizing plausible variants guided by character evolution principles.