activity
20202023
most citedInstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

21 citations · 61 across the 18 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network

Chuong Huynh, Yuqian Zhou, Zhe Lin +4

In photo editing, it is common practice to remove visual distractions to improve the overall image quality and highlight the primary subject. However, manually selecting and removi…

cs.CV2023

XFormer: Fast and Accurate Monocular 3D Body Capture

Lihui Qian, Xintong Han, Faqiang Wang +6

We present XFormer, a novel human mesh and motion capture method that achieves real-time performance on consumer CPUs given only monocular images as input. The proposed network arc…

cs.CV2023★ 21 cited

InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Jing Shi, Wei Xiong, Zhe Lin +1

Recent advances in personalized image generation allow a pre-trained text-to-image model to learn a new concept from a set of images. However, existing personalization approaches u…

cs.CV2023

Automatic High Resolution Wire Segmentation and Removal

Mang Tik Chiu, Xuaner Zhang, Zijun Wei +7

Wires and powerlines are common visual distractions that often undermine the aesthetics of photographs. The manual process of precisely segmenting and removing them is extremely te…

cs.CV2023★ 5 cited

Human MotionFormer: Transferring Human Motions with Vision Transformers

Hongyu Liu, Xintong Han, Chengbin Jin +8

Human motion transfer aims to transfer motions from a target dynamic person to a source static one for motion synthesis. An accurate matching between the source person and the targ…