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Found 5 papers, 1 papers with code
Towards Better Text-to-Image Generation Alignment via Attention Modulation
To achieve this, we incorporate a temperature control mechanism within the early phases of the self-attention modules to mitigate entity leakage issues.
Towards Controllable Time Series Generation
This underscores its adeptness in seamlessly integrating latent features with external conditions.
Multi-Prompts Learning with Cross-Modal Alignment for Attribute-based Person Re-Identification
Thereby, this paper explores the potential of using the generated multiple person attributes as prompts in ReID tasks with off-the-shelf (large) models for more accurate retrieval results.
TSGBench: Time Series Generation Benchmark
Synthetic Time Series Generation (TSG) is crucial in a range of applications, including data augmentation, anomaly detection, and privacy preservation.
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
For intra-domain propagation, we propose an effective self-training strategy to mitigate the noises in pseudo-labeled target domain data and improve the feature discriminability in the target domain.
