DBG mitigates boundary overlap in long-tailed learning by generating near-boundary samples, leading to better tail class accuracy and more separable decision spaces.
High-resolution image syn- thesis with latent diffusion models
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cs.CV 4representative citing papers
StyleTextGen proposes a dual-branch style encoder, text style consistency loss, and mask-guided inference to achieve superior style consistency and cross-lingual performance in multilingual scene text generation on a new bilingual benchmark.
A real-time video diffusion world model that uses dual action control, reframed position encodings, and context-aligned distillation to keep generated environments consistent over hundreds of frames.
SATB-VR trains few-step video restoration diffusion models via SNR-aware trajectory blending of predictor outputs with ground-truth and a denoiser-driven consistency loss to achieve favorable performance on benchmarks.
citing papers explorer
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Decision Boundary-aware Generation for Long-tailed Learning
DBG mitigates boundary overlap in long-tailed learning by generating near-boundary samples, leading to better tail class accuracy and more separable decision spaces.
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StyleTextGen: Style-Conditioned Multilingual Scene Text Generation
StyleTextGen proposes a dual-branch style encoder, text style consistency loss, and mask-guided inference to achieve superior style consistency and cross-lingual performance in multilingual scene text generation on a new bilingual benchmark.
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WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
A real-time video diffusion world model that uses dual action control, reframed position encodings, and context-aligned distillation to keep generated environments consistent over hundreds of frames.
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SATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending
SATB-VR trains few-step video restoration diffusion models via SNR-aware trajectory blending of predictor outputs with ground-truth and a denoiser-driven consistency loss to achieve favorable performance on benchmarks.