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20142024
most citedInternLM2 Technical Report

29 citations · 79 across the 20 of their papers we have counts for

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10 papers · 1 filter

cs.CV20241 cited

4D Contrastive Superflows are Dense 3D Representation Learners

Xiang Xu, Lingdong Kong, Hui Shuai +5

In the realm of autonomous driving, accurate 3D perception is the foundation. However, developing such models relies on extensive human annotations -- a process that is both costly…

cs.CV20243 cited

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Pan Zhang, Xiaoyi Dong, Yuhang Zang +24

We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that supports long-contextual input and output. IXC-2.5 excels in various text-image comprehens…

cs.CV2024

FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds

Yiming Zhang, Yicheng Gu, Yanhong Zeng +4

We study Neural Foley, the automatic generation of high-quality sound effects synchronizing with videos, enabling an immersive audio-visual experience. Despite its wide range of ap…

cs.CV20241 cited

MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

Xiangyu Zhao, Xiangtai Li, Haodong Duan +4

Multi-modal large language models (MLLMs) have made significant strides in various visual understanding tasks. However, the majority of these models are constrained to process low-…

cs.CV2024

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results

Xin Jin, Chunle Guo, Xiaoming Li +39

The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…

cs.CV2024

From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models

Rongjie Li, Songyang Zhang, Dahua Lin +2

Scene graph generation (SGG) aims to parse a visual scene into an intermediate graph representation for downstream reasoning tasks. Despite recent advancements, existing methods st…