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Title: vivo Camera Research · GitHub

Open Graph Title: vivo Camera Research

X Title: vivo Camera Research

Description: vivo Camera Research has 18 repositories available. Follow their code on GitHub.

Open Graph Description: vivo Camera Research has 18 repositories available. Follow their code on GitHub.

X Description: vivo Camera Research has 18 repositories available. Follow their code on GitHub.

Opengraph URL: https://github.com/vivoCameraResearch

X: @github

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https://patch-diff.githubusercontent.com/vivoCameraResearch#-项目亮点
Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modelinghttps://arxiv.org/pdf/2602.01864
https://arxiv.org/pdf/2602.01864
https://github.com/vivoCameraResearch/AdaRefSR
LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusionhttps://openreview.net/pdf?id=02mgFnnfqG
https://openreview.net/pdf?id=02mgFnnfqG
https://patch-diff.githubusercontent.com/vivoCameraResearch/.github/blob/main/profile
Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Modelhttps://arxiv.org/pdf/2505.21593
https://arxiv.org/pdf/2505.21593
https://github.com/vivoCameraResearch/any-to-bokeh
Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-Exposure Monocular Videoshttps://arxiv.org/abs/2510.18489
https://arxiv.org/abs/2510.18489
https://github.com/LiuJF1226/Mono4DGS-HDR
Realism Control One-step Diffusion for Real-World Image Super-Resolutionhttps://arxiv.org/pdf/2509.10122
https://arxiv.org/pdf/2509.10122
https://github.com/Zongliang-Wu/RCOD
Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbationhttps://patch-diff.githubusercontent.com/vivoCameraResearch/.github/blob/main/profile
https://patch-diff.githubusercontent.com/vivoCameraResearch/.github/blob/main/profile
https://patch-diff.githubusercontent.com/vivoCameraResearch/.github/blob/main/profile
Photography Perspective Composition: Towards Aesthetic Perspective Recommendationhttps://arxiv.org/pdf/2505.20655
https://arxiv.org/pdf/2505.20655
https://vivocameraresearch.github.io/ppc/
Learning Differential Pyramid Representation for Tone Mappinghttps://arxiv.org/pdf/2412.01463
https://arxiv.org/pdf/2412.01463
https://xxxxxxdprnet.github.io/DPRNet/
SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learninghttps://openreview.net/pdf?id=IbzDaIDyt6
https://openreview.net/pdf?id=IbzDaIDyt6
https://github.com/YXB-NKU/SE-GUI
SDMatte: Grafting Diffusion Models for Interactive Mattinghttps://arxiv.org/abs/2508.00443
https://arxiv.org/abs/2508.00443
https://github.com/vivoCameraResearch/SDMatte
MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restorationhttps://patch-diff.githubusercontent.com/vivoCameraResearch/.github/blob/main/profile
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https://patch-diff.githubusercontent.com/vivoCameraResearch/.github/blob/main/profile
BokehDiff: Neural Lens Blur with One-Step Diffusionhttps://arxiv.org/abs/2507.18060
https://arxiv.org/abs/2507.18060
https://github.com/FreeButUselessSoul/bokehdiff
Learning Adaptive Lighting via Channel-Aware Guidancehttps://arxiv.org/abs/2412.01493
https://arxiv.org/abs/2412.01493
https://xxxxxx2025.github.io/LALNet/
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacityhttps://arxiv.org/abs/2410.10105
https://arxiv.org/abs/2410.10105
https://github.com/qianyu-dlut/diffdis
Multi-Task Dense Predictions via Unleashing the Power of Diffusionhttps://openreview.net/forum?id=TzdTRC85SQ&referrer=%5Bthe%20profile%20of%20Peng-Tao%20Jiang%5D(%2Fprofile%3Fid%3D~Peng-Tao_Jiang1)
https://github.com/YuqiYang213/TaskDiffusion
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learninghttps://arxiv.org/abs/2412.11952
https://arxiv.org/abs/2412.11952
Boosting Vision State Space Model with Fractal Scanninghttps://arxiv.org/abs/2405.14480
https://arxiv.org/abs/2405.14480
https://github.com/hkxiao/Fractal-Mamba
Towards Training-Free Open-World Segmentation via Image Prompt Foundation Modelshttps://arxiv.org/abs/2310.10912
https://arxiv.org/abs/2310.10912
https://github.com/luckybird1994/ipseg
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentationhttps://arxiv.org/abs/2410.21708
https://arxiv.org/abs/2410.21708
https://github.com/XiaRho/MADM
Non-uniform Timestep Sampling: Towards Faster Diffusion Model Traininghttps://dl.acm.org/doi/10.1145/3664647.3680912
Chain of visual perception: Harnessing multimodal large language models for zero-shot camouflaged object detectionhttps://arxiv.org/abs/2311.11273
https://arxiv.org/abs/2311.11273
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Modelshttps://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00328.pdf
https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00328.pdf
https://github.com/thermal-dynamics/freediff
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimationhttps://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00328.pdf
https://arxiv.org/abs/2407.14126
https://github.com/LiuJF1226/Mono-ViFI
SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaginghttps://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00328.pdf
https://arxiv.org/abs/2407.16308
https://github.com/ltkong218/SAFNet
Beta-tuned timestep diffusion modelhttps://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00328.pdf
https://eccv.ecva.net/virtual/2024/poster/1430
Multi-Task Dense Prediction via Mixture of Low-Rank Expertshttps://arxiv.org/abs/2403.17749
https://arxiv.org/abs/2403.17749
https://github.com/YuqiYang213/MLoRE
Revisiting single image reflection removal in the wildhttps://arxiv.org/abs/2311.17320
https://arxiv.org/abs/2311.17320
https://github.com/zhuyr97/Reflection_RemoVal_CVPR2024
ASAM: Boosting Segment Anything Model with Adversarial Tuninghttps://arxiv.org/abs/2405.00256
https://arxiv.org/abs/2405.00256
https://github.com/luckybird1994/ASAM
https://patch-diff.githubusercontent.com/vivoCameraResearch#-核心方向
https://patch-diff.githubusercontent.com/vivoCameraResearch#-联系我们
vivo Camera Research Labhttps://blueimage.vivo.com/#/research
https://patch-diff.githubusercontent.com/vivoCameraResearch#-开源协议
Apache 2.0 Licensehttps://www.apache.org/licenses/LICENSE-2.0
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