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Yuta Oshima

3 accepted papers

2026

MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation

CVPR 2026

Recent text-to-image generation models have acquired the ability of multi-reference generation and editing; that is, to inherit the appearance of subjects from multiple reference images and re-render them in new contexts. However, existing benchmark datasets often focus on generation using a single

Cited by 0SourcecodeScholar
2025

Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

NeurIPS 2025poster

The remarkable progress in text-to-video diffusion models enables the generation of photorealistic videos, although the content of these generated videos often includes unnatural movement or deformation, reverse playback, and motionless scenes. Recently, an alignment problem has attracted huge atten…

Cited by 0SourceScholar
2024

ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate

NeurIPS 2024poster

Adam is one of the most popular optimization algorithms in deep learning. However, it is known that Adam does not converge in theory unless choosing a hyperparameter, i.e., $\beta_2$, in a problem-dependent manner. There have been many attempts to fix the non-convergence (e.g., AMSGrad), but they re…