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20232026
most citedScalable Visual State Space Model with Fractal Scanning

5 citations · 11 across the 41 of their papers we have counts for

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Showing 2026 · cs.CVShow all

14 papers · 2 filters

cs.CV2026

IntriAdapt: Generalizable Intrinsic-Guided Test-Time Adaptation for Metric Geometry Estimation

Jiaxing Chen, Zizheng Yan, Jingyu Zhuang +4

Recovering metric 3D geometry from images is fundamentally ill-posed due to perspective projection ambiguity. Current geometry models incorporate supplied or predicted intrinsics d…

cs.CV2026

Hear the World in Stereo: Learning Dynamic Spatial Correspondence for Immersive Joint Video-Audio Generation

Hanmo Chen, Chengcheng Liu, Tianxiao Chen +8

Recent joint video-audio generation models have achieved strong semantic correspondence and temporal synchronization. However, applications such as AR/VR and interactive gaming fur…

cs.CV2026

WildSplat: Feedforward Gaussian Splatting from Unposed In-the-Wild Images

Xiyu Zhang, Jingyu Zhuang, Hongjia Zhai +4

While feedforward 3D reconstruction excels at efficient novel view synthesis, it typically falters when faced with scenes under varying illumination. To this end, we introduce Wild…

cs.CV2026

VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching

Yihong Guo, Youwei Lyu, Jiajun Tang +5

Reasoning photo retouching has gained significant traction, requiring models to analyze image defects, give reasoning processes, and execute precise retouching enhancements. Howeve…

cs.CV2026

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework

Linxiao Shi, Siming Zheng, Zerong Wang +5

Existing mobile devices are constrained by compact optical designs, such as small apertures, which make it difficult to produce natural, optically realistic bokeh effects. Although…

cs.CV2026

EditRefiner: A Human-Aligned Agentic Framework for Image Editing Refinement

Zitong Xu, Huiyu Duan, Yifei Nie +9

Recent text-guided image editing (TIE) models have made remarkable progress, yet edited images still frequently suffer from fine-grained issues such as unnatural objects, lighting…

cs.CV2026

SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing

Ying Zeng, Miaosen Luo, Guangyuan Li +10

Traditional photographic image editing typically requires users to possess sufficient aesthetic understanding to provide appropriate instructions for adjusting image quality and ca…

cs.CV2026

LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion

Clara Xue, Zizheng Yan, Zhenning Shi +5

Live Photo captures both a high-quality key photo and a short video clip to preserve the precious dynamics around the captured moment. While users may choose alternative frames as…

cs.CV2026

EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing

Zitong Xu, Huiyu Duan, Zhongpeng Ji +9

Recent text-guided image editing (TIE) models have achieved remarkable progress, while many edited images still suffer from issues such as artifacts, unexpected editings, unaesthet…

cs.CV2026

Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion

Yang Yang, Tianyi Zhang, Wei Huang +6

Interactive long video generation requires prompt switching to introduce new subjects or events, while maintaining perceptual fidelity and coherent motion over extended horizons. R…

cs.CV2026

AnimeAgent: Is the Multi-Agent via Image-to-Video models a Good Disney Storytelling Artist?

Hailong Yan, Shice Liu, Tao Wang +5

Custom Storyboard Generation (CSG) aims to produce high-quality, multi-character consistent storytelling. Current approaches based on static diffusion models, whether used in a one…

cs.CV2026

SemiNFT: Learning to Transfer Presets from Imitation to Appreciation via Hybrid-Sample Reinforcement Learning

Melany Yang, Yuhang Yu, Diwang Weng +2

Photorealistic color retouching plays a vital role in visual content creation, yet manual retouching remains inaccessible to non-experts due to its reliance on specialized expertis…

cs.CV2026

FlowConsist: Make Your Flow Consistent with Real Trajectory

Tianyi Zhang, Chengcheng Liu, Jinwei Chen +5

Fast flow models accelerate the iterative sampling process by learning to directly predict ODE path integrals, enabling one-step or few-step generation. However, we argue that curr…

cs.CV2026

Revisiting Lightweight Low-Light Image Enhancement: From a YUV Color Space Perspective

Hailong Yan, Shice Liu, Xiangtao Zhang +4

In the current era of mobile internet, Lightweight Low-Light Image Enhancement (L3IE) is critical for mobile devices, which faces a persistent trade-off between visual quality and…