Showing cs.CVShow all
3 papers · 1 filter
cs.CV2024
TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps
Qingsong Xie, Zhenyi Liao, Zhijie Deng +2
Distilling latent diffusion models (LDMs) into ones that are fast to sample from is attracting growing research interest. However, the majority of existing methods face two critica…
cs.CV2024
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification
Weizhen He, Yiheng Deng, Yunfeng Yan +7
Human intelligence can retrieve any person according to both visual and language descriptions. However, the current computer vision community studies specific person re-identificat…
cs.CV2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Hongjian Liu, Qingsong Xie, TianXiang Ye +6
The iterative sampling procedure employed by diffusion models (DMs) often leads to significant inference latency. To address this, we propose Stochastic Consistency Distillation (S…