activity
20232026
most citedSAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

9 citations · 18 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

MoWorld: A Flash World Model

Team Moxin, Deyi Ji, Tianrun Chen +37

The future of World Models depends not only on scaling model capability, but also on scaling practicality and inference efficiency. High-frame-rate inference enables responsive per…

cs.CV2025

Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku

Chunan Yu, Yidong Han, Chaotao Ding +6

In the era of the metaverse, where immersive technologies redefine human experiences, translating abstract literary concepts into navigable 3D environments presents a fundamental c…

cs.CV2025

Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches

Ying Zang, Runlong Cao, Jianqi Zhang +8

Sketches, with their expressive potential, allow humans to convey the essence of an object through even a rough contour. For the first time, we harness this expressive potential to…

cs.CV2024

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion

Shengyuan Zhang, An Zhao, Ling Yang +7

Diffusion models have been applied to 3D LiDAR scene completion due to their strong training stability and high completion quality. However, the slow sampling speed limits the prac…

cs.CV2024★ 2 cited

Img2CAD: Conditioned 3D CAD Model Generation from Single Image with Structured Visual Geometry

Tianrun Chen, Chunan Yu, Yuanqi Hu +8

In this paper, we propose Img2CAD, the first approach to our knowledge that uses 2D image inputs to generate CAD models with editable parameters. Unlike existing AI methods for 3D…

cs.CV2024★ 9 cited

SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Tianrun Chen, Ankang Lu, Lanyun Zhu +7

The advent of large models, also known as foundation models, has significantly transformed the AI research landscape, with models like Segment Anything (SAM) achieving notable succ…

cs.CV2024★ 2 cited

Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models

Tianrun Chen, Chunan Yu, Jing Li +7

In this paper, we introduce a new task: Zero-Shot 3D Reasoning Segmentation for parts searching and localization for objects, which is a new paradigm to 3D segmentation that transc…