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20242026
most citedFreeTuner: Any Subject in Any Style with Training-free Diffusion

1 citations · 2 across the 9 of their papers we have counts for

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Showing 2024 · cs.CVShow all

5 papers · 2 filters

cs.CV2024

Event-Customized Image Generation

Zhen Wang, Yilei Jiang, Dong Zheng +2

Customized Image Generation, generating customized images with user-specified concepts, has raised significant attention due to its creativity and novelty. With impressive progress…

cs.CV2024

From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation

Hanrong Shi, Lin Li, Jun Xiao +2

Panoptic Scene Graph Generation (PSG) aims to generate a comprehensive graph-structure representation based on panoptic segmentation masks. Despite remarkable progress in PSG, almo…

cs.CV2024

: Discrete Diffusion Model for Occluded 3D Human Pose Estimation

Weiquan Wang, Jun Xiao, Chunping Wang +3

Continuous diffusion models have demonstrated their effectiveness in addressing the inherent uncertainty and indeterminacy in monocular 3D human pose estimation (HPE). Despite thei…

cs.CV2024★ 1 cited

FreeTuner: Any Subject in Any Style with Training-free Diffusion

Youcan Xu, Zhen Wang, Jun Xiao +2

With the advance of diffusion models, various personalized image generation methods have been proposed. However, almost all existing work only focuses on either subject-driven or s…

cs.CV2024

Seeing Beyond Classes: Zero-Shot Grounded Situation Recognition via Language Explainer

Jiaming Lei, Lin Li, Chunping Wang +2

Benefiting from strong generalization ability, pre-trained vision language models (VLMs), e.g., CLIP, have been widely utilized in zero-shot scene understanding. Unlike simple reco…