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20212025
most citedAdaptive Frequency Filters As Efficient Global Token Mixers

10 citations · 30 across the 13 of their papers we have counts for

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11 papers · 1 filter

cs.CV2025

Phi-Ground Tech Report: Advancing Perception in GUI Grounding

Miaosen Zhang, Ziqiang Xu, Jialiang Zhu +8

With the development of multimodal reasoning models, Computer Use Agents (CUAs), akin to Jarvis from \textit{"Iron Man"}, are becoming a reality. GUI grounding is a core component…

cs.CV20241 cited

RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models

Bowen Zhang, Yiji Cheng, Chunyu Wang +6

We present RodinHD, which can generate high-fidelity 3D avatars from a portrait image. Existing methods fail to capture intricate details such as hairstyles which we tackle in this…

cs.CV2024

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms

Miaosen Zhang, Yixuan Wei, Zhen Xing +8

Modern vision models are trained on very large noisy datasets. While these models acquire strong capabilities, they may not follow the user's intent to output the desired results i…

cs.CV20242 cited

VisualCritic: Making LMMs Perceive Visual Quality Like Humans

Zhipeng Huang, Zhizheng Zhang, Yiting Lu +3

At present, large multimodal models (LMMs) have exhibited impressive generalization capabilities in understanding and generating visual signals. However, they currently still lack…

cs.CV2024

RelationVLM: Making Large Vision-Language Models Understand Visual Relations

Zhipeng Huang, Zhizheng Zhang, Zheng-Jun Zha +2

The development of Large Vision-Language Models (LVLMs) is striving to catch up with the success of Large Language Models (LLMs), yet it faces more challenges to be resolved. Very…

cs.CV20231 cited

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation

Yanhui Wang, Jianmin Bao, Wenming Weng +12

We present MicroCinema, a straightforward yet effective framework for high-quality and coherent text-to-video generation. Unlike existing approaches that align text prompts with vi…