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20242026
most citedLotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

2 citations · 2 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation

Jing He, Haodong Li, Yongzhe Hu +4

In the realm of image generation, creating customized images from visual prompt with additional textual instruction emerges as a promising endeavor. However, existing methods, both…

cs.CV2024

OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction

Leheng Li, Weichao Qiu, Xu Yan +6

We present OmniBooth, an image generation framework that enables spatial control with instance-level multi-modal customization. For all instances, the multimodal instruction can be…

cs.CV2024

SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs

Leheng Li, Weichao Qiu, Yingjie Cai +4

The advancement of autonomous driving is increasingly reliant on high-quality annotated datasets, especially in the task of 3D occupancy prediction, where the occupancy labels requ…

cs.CV2024

Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement

Haodong Li, Hao Lu, Ying-Cong Chen

Remote photoplethysmography (rPPG) is gaining prominence for its non-invasive approach to monitoring physiological signals using only cameras. Despite its promise, the adaptability…

cs.CV2024★ 2 cited

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Jing He, Haodong Li, Wei Yin +6

Leveraging the visual priors of pre-trained text-to-image diffusion models offers a promising solution to enhance zero-shot generalization in dense prediction tasks. However, exist…