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1.【基础网络架构#xff1a;Transformer】Rejuvenating image-GPT as Strong Visual Representation Learners 论文地址#xff1a;https://a…点击计算机视觉关注更多CV干货
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1.【基础网络架构Transformer】Rejuvenating image-GPT as Strong Visual Representation Learners 论文地址https://arxiv.org//pdf/2312.02147 开源代码https://github.com/OliverRensu/D-iGPT 2.【基础网络架构Transformer】Bootstrapping SparseFormers from Vision Foundation Models 论文地址https://arxiv.org//pdf/2312.01987 开源代码https://github.com/showlab/sparseformer 3.【异常检测】Unsupervised Anomaly Detection using Aggregated Normative Diffusion 论文地址https://arxiv.org//pdf/2312.01904 开源代码https://github.com/alexanderfrotscher/ANDi 4.【视频异常检测】Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection 论文地址https://arxiv.org//pdf/2312.01764 开源代码即将开源https://github.com/ArielZc/DE-Net 5.【图像分割】UniGS: Unified Representation for Image Generation and Segmentation 论文地址https://arxiv.org//pdf/2312.01985 开源代码即将开源https://github.com/qqlu/Entity 6.【语义分割】Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation 论文地址https://arxiv.org//pdf/2312.01850 开源代码即将开源https://github.com/JNiemeijer/DIDEX 7.【人脸识别】Effective Adapter for Face Recognition in the Wild 论文地址https://arxiv.org//pdf/2312.01734 工程主页Effective Adapter for Face Recognition in the Wild 开源代码即将开源https://github.com/liuyunhaozz/faceadapter/ 8.【医学图像分割】MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation 论文地址https://arxiv.org//pdf/2312.01740 开源代码即将开源https://github.com/FengheTan9/MobileUtr 9.【视频超分辨率重建】Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution 论文地址https://arxiv.org//pdf/2312.00853 开源代码即将开源https://github.com/IanYeung/MGLD-VSR 10.【图像增强】Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement 论文地址https://arxiv.org//pdf/2312.01338 开源代码https://github.com/liamheng/Annotation-free-Medical-Image-Enhancement 11.【动作识别】DST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition 论文地址https://arxiv.org//pdf/2312.01431 开源代码即将开源https://github.com/qizhongtan/D2ST-Adapter 12.【多模态】Aligning and Prompting Everything All at Once for Universal Visual Perception 论文地址https://arxiv.org//pdf/2312.02153 开源代码https://github.com/shenyunhang/APE 13.【多模态】Object Recognition as Next Token Prediction 论文地址https://arxiv.org//pdf/2312.02142 开源代码https://github.com/kaiyuyue/nxtp 14.【多模态】Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites 论文地址https://arxiv.org//pdf/2312.01701 开源代码https://github.com/Anonymousanoy/FOHE 15.【多模态】Good Questions Help Zero-Shot Image Reasoning 论文地址https://arxiv.org//pdf/2312.01598 开源代码https://github.com/kai-wen-yang/QVix 16.【多模态】Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling 论文地址https://arxiv.org//pdf/2312.01017 开源代码即将开源https://github.com/stoneMo/DeepAVFusion 17.【多模态】Segment and Caption Anything 论文地址https://arxiv.org//pdf/2312.00869 工程主页Segment and Caption Anything 开源代码https://github.com/xk-huang/segment-caption-anything 18.【多模态】VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models 论文地址https://arxiv.org//pdf/2312.00845 工程主页VMC 开源代码https://github.com/HyeonHo99/Video-Motion-Customization 19.【多模态】A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video 论文地址https://arxiv.org//pdf/2312.01575 开源代码https://github.com/keitokudo/Multi-VidSum 20.【数字人】GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians 论文地址https://arxiv.org//pdf/2312.02134 工程主页Projectpage of GaussianAvatar 开源代码即将开源https://github.com/huliangxiao/GaussianAvatar 21.【数字人】VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior 论文地址https://arxiv.org//pdf/2312.01841 工程主页VividTalk: One-Shot Audio-Driven Talking Head Generation Based 3D Hybrid Prior 开源代码即将开源https://github.com/HumanAIGC/VividTalk 22.【数字人】3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing 论文地址https://arxiv.org//pdf/2312.00870 工程主页3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing 开源代码即将开源https://github.com/bala1144/3DiFACE 23.【半监督学习】Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels 论文地址https://arxiv.org//pdf/2312.01169 开源代码https://github.com/GeoffreyChen777/VC 24.【深度估计】Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation 论文地址https://arxiv.org//pdf/2312.02145 工程主页Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation 开源代码https://github.com/prs-eth/marigold 25.【深度估计】Deeper into Self-Supervised Monocular Indoor Depth Estimation 论文地址https://arxiv.org//pdf/2312.01283 开源代码https://github.com/fcntes/IndoorDepth 26.【场景补全】PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness 论文地址https://arxiv.org//pdf/2312.02158 工程主页PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness 开源代码即将开源https://github.com/astra-vision/PaSCo 27.【风格迁移】Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion 论文地址https://arxiv.org//pdf/2312.01671 工程主页Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion 代码即将开源 28.【Diffusion】Readout Guidance: Learning Control from Diffusion Features 论文地址https://arxiv.org//pdf/2312.02150 工程主页Readout Guidance: Learning Control from Diffusion Features 代码即将开源 29.【Diffusion】ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning 论文地址https://arxiv.org//pdf/2312.01682 开源代码即将开源https://github.com/nkicsl/ResEnsemble-DDPM 30.【Diffusion】DeepCache: Accelerating Diffusion Models for Free 论文地址https://arxiv.org//pdf/2312.00858 开源代码https://github.com/horseee/DeepCache 31.【网络剪枝】Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective 论文地址https://arxiv.org//pdf/2312.01397 开源代码https://github.com/UNITES-Lab/VPNs 32.【网络剪枝】Physics Inspired Criterion for Pruning-Quantization Joint Learning 论文地址https://arxiv.org//pdf/2312.00851 开源代码https://github.com/fanxxxxyi/PIC-PQ 33.【姿态估计】Object 6D pose estimation meets zero-shot learning 论文地址https://arxiv.org//pdf/2312.00947 工程主页PoMZ: Object 6D Pose Estimation Meets Zero-Shot Learning 代码即将开源 34.【NeRF】Mesh-Guided Neural Implicit Field Editing 论文地址https://arxiv.org//pdf/2312.02157 工程主页Mesh-Guided Neural Implicit Field Editing 开源代码即将开源https://github.com/cassiePython/MNeuEdit/tree/master 35.【NeRF】SANeRF-HQ: Segment Anything for NeRF in High Quality 论文地址https://arxiv.org//pdf/2312.01531 工程主页SANeRF-HQ 开源代码即将开源https://github.com/lyclyc52/SANeRF-HQ 36.【NeRF】VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams 论文地址https://arxiv.org//pdf/2312.01407 工程主页VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams 开源代码即将开源https://github.com/aoliao12138/VideoRF 37.【NeRF】Self-Evolving Neural Radiance Fields 论文地址https://arxiv.org//pdf/2312.01003 工程主页SE-NeRF 开源代码即将开源https://github.com/KU-CVLAB/SE-NeRF 38.【图像合成】DiffiT: Diffusion Vision Transformers for Image Generation 论文地址https://arxiv.org//pdf/2312.02139 开源代码https://github.com/NVlabs/DiffiT 39.【图像合成】Style Aligned Image Generation via Shared Attention 论文地址https://arxiv.org//pdf/2312.02133 工程主页StyleAlign 开源代码https://github.com/google/style-aligned/ 40.【人脸重建】DPHMs: Diffusion Parametric Head Models for Depth-based Tracking 论文地址https://arxiv.org//pdf/2312.01068 工程主页DPHMs: Diffusion Parametric Head Models for Depth-based Tracking 开源代码即将开源https://github.com/tangjiapeng/DPHMs 41.【图像检索】Language-only Efficient Training of Zero-shot Composed Image Retrieval 论文地址https://arxiv.org//pdf/2312.01998 开源代码https://github.com/navervision/lincir 42.【Visual Question Answering】How to Configure Good In-Context Sequence for Visual Question Answering 论文地址https://arxiv.org//pdf/2312.01571 开源代码https://github.com/GaryJiajia/OFv2_ICL_VQA 论文已打包下载链接
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