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20212026
most citedDivide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning

29 citations · 50 across the 28 of their papers we have counts for

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Showing 2025 · cs.CVShow all

10 papers · 2 filters

cs.CV2025

ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning

Yifan Li, Yingda Yin, Lingting Zhu +4

Reasoning-centric video object segmentation is an inherently complex task: the query often refers to dynamics, causality, and temporal interactions, rather than static appearances.…

cs.CV2025

CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation

Chenyu Liu, Hongze Chen, Jingzhi Bao +7

Despite major advances brought by diffusion-based models, current 3D texture generation systems remain hindered by cross-view inconsistency -- textures that appear convincing from…

cs.CV2025

LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context

Jingzhi Bao, Hongze Chen, Lingting Zhu +10

Physically-based rendering (PBR) provides a principled standard for realistic material-lighting interactions in computer graphics. Despite recent advances in generating PBR texture…

cs.CV2025

MonkeyOCR v1.5 Technical Report: Unlocking Robust Document Parsing for Complex Patterns

Jiarui Zhang, Yuliang Liu, Zijun Wu +17

Document parsing is a core task in document intelligence, supporting applications such as information extraction, retrieval-augmented generation, and automated document analysis. H…

cs.CV2025

AvatarTex: High-Fidelity Facial Texture Reconstruction from Single-Image Stylized Avatars

Yuda Qiu, Zitong Xiao, Yiwei Zuo +3

We present AvatarTex, a high-fidelity facial texture reconstruction framework capable of generating both stylized and photorealistic textures from a single image. Existing methods…

cs.CV2025

AdaDrive: Self-Adaptive Slow-Fast System for Language-Grounded Autonomous Driving

Ruifei Zhang, Junlin Xie, Wei Zhang +4

Effectively integrating Large Language Models (LLMs) into autonomous driving requires a balance between leveraging high-level reasoning and maintaining real-time efficiency. Existi…