10 citations · 14 across the 4 of their papers we have counts for
7 papers
SymPoint Revolutionized: Boosting Panoptic Symbol Spotting with Layer Feature Enhancement
Wenlong Liu, Tianyu Yang, Qizhi Yu +1
SymPoint is an initial attempt that utilizes point set representation to solve the panoptic symbol spotting task on CAD drawing. Despite its considerable success, it overlooks grap…
Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription
Hongxiang Zhao, Xili Dai, Jianan Wang +5
Large image diffusion models have demonstrated zero-shot capability in novel view synthesis (NVS). However, existing diffusion-based NVS methods struggle to generate novel views th…
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
Wenlong Liu, Tianyu Yang, Yuhan Wang +2
This work studies the problem of panoptic symbol spotting, which is to spot and parse both countable object instances (windows, doors, tables, etc.) and uncountable stuff (wall, ra…
Stable Score Distillation for High-Quality 3D Generation
Boshi Tang, Jianan Wang, Zhiyong Wu +1
Although Score Distillation Sampling (SDS) has exhibited remarkable performance in conditional 3D content generation, a comprehensive understanding of its formulation is still lack…
TOSS:High-quality Text-guided Novel View Synthesis from a Single Image
Yukai Shi, Jianan Wang, He Cao +7
In this paper, we present TOSS, which introduces text to the task of novel view synthesis (NVS) from just a single RGB image. While Zero-1-to-3 has demonstrated impressive zero-sho…
Consistent123: Improve Consistency for One Image to 3D Object Synthesis
Haohan Weng, Tianyu Yang, Jianan Wang +4
Large image diffusion models enable novel view synthesis with high quality and excellent zero-shot capability. However, such models based on image-to-image translation have no guar…