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cs.CV2025

Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation

Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve +4

Achieving precise alignment between user intent and generated visuals remains a central challenge in text-to-visual generation, as a single attempt often fails to produce the desir…

cs.CV2025

Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling

Subin Kim, Seoung Wug Oh, Jui-Hsien Wang +2

While recent advancements in text-to-video diffusion models enable high-quality short video generation from a single prompt, generating real-world long videos in a single pass rema…