activity
20232025
most citedVideo Prediction Transformers without Recurrence or Convolution

9 citations · 28 across the 24 of their papers we have counts for

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Showing 2024 · cs.CVShow all

7 papers · 2 filters

cs.CV2024★ 1 cited

Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint

Junwei Zhou, Xueting Li, Lu Qi +1

We present Layout-Your-3D, a framework that allows controllable and compositional 3D generation from text prompts. Existing text-to-3D methods often struggle to generate assets wit…

cs.CV2024★ 9 cited

Video Prediction Transformers without Recurrence or Convolution

Yujin Tang, Lu Qi, Xiangtai Li +2

Video prediction has witnessed the emergence of RNN-based models led by ConvLSTM, and CNN-based models led by SimVP. Following the significant success of ViT, recent works have int…

cs.CV2024★ 2 cited

Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model

Haobo Yuan, Xiangtai Li, Lu Qi +4

Transformer-based segmentation methods face the challenge of efficient inference when dealing with high-resolution images. Recently, several linear attention architectures, such as…

cs.CV2024

SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow

Chaoyang Wang, Xiangtai Li, Lu Qi +3

Semantic segmentation and semantic image synthesis are two representative tasks in visual perception and generation. While existing methods consider them as two distinct tasks, we…

cs.CV2024★ 2 cited

Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

Kuan-Chih Huang, Xiangtai Li, Lu Qi +2

Recent advancements in multimodal large language models (LLMs) have demonstrated significant potential across various domains, particularly in concept reasoning. However, their app…

cs.CV2024★ 3 cited

Explore In-Context Segmentation via Latent Diffusion Models

Chaoyang Wang, Xiangtai Li, Henghui Ding +5

In-context segmentation has drawn increasing attention with the advent of vision foundation models. Its goal is to segment objects using given reference images. Most existing appro…

cs.CV2024★ 4 cited

RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything

Shilin Xu, Haobo Yuan, Qingyu Shi +9

Recent segmentation methods, which adopt large-scale data training and transformer architecture, aim to create one foundation model that can perform multiple tasks. However, most o…