June 11, 2024, 4:47 a.m. | Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.05871v1 Announce Type: cross
Abstract: We provide a two-way integration for the widely adopted ControlNet by integrating external condition generation algorithms into a single dense prediction method and incorporating its individually trained image generation processes into a single model. Despite its tremendous success, the ControlNet of a two-stage pipeline bears limitations in being not self-contained (e.g. calls the external condition generation algorithms) with a large model redundancy (separately trained models for different types of conditioning inputs). Our proposed OmniControlNet consolidates …

abstract algorithms arxiv bears controlnet cs.cv cs.lg image image generation integration limitations pipeline prediction processes stage success type

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