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cs.CV2025
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
Jaihoon Kim, Taehoon Yoon, Jisung Hwang +1
We propose an inference-time scaling approach for pretrained flow models. Recently, inference-time scaling has gained significant attention in LLMs and diffusion models, improving…
cs.CV2024★ 1 cited
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
Phillip Y. Lee, Taehoon Yoon, Minhyuk Sung
We introduce GrounDiT, a novel training-free spatial grounding technique for text-to-image generation using Diffusion Transformers (DiT). Spatial grounding with bounding boxes has…