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1.【基础网络架构:Transformer】Rejuvenating image-GPT as Strong Visual Representation Learners
2.【基础网络架构:Transformer】Bootstrapping SparseFormers from Vision Foundation Models
3.【异常检测】Unsupervised Anomaly Detection using Aggregated Normative Diffusion
4.【视频异常检测】Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection
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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
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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
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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
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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
9.【视频超分辨率重建】Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
10.【图像增强】Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement
11.【动作识别】DST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
12.【多模态】Aligning and Prompting Everything All at Once for Universal Visual Perception
13.【多模态】Object Recognition as Next Token Prediction
14.【多模态】Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites
15.【多模态】Good Questions Help Zero-Shot Image Reasoning
16.【多模态】Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling
17.【多模态】Segment and Caption Anything
18.【多模态】VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
19.【多模态】A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video
20.【数字人】GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
21.【数字人】VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior
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工程主页:VividTalk: One-Shot Audio-Driven Talking Head Generation Based 3D Hybrid Prior
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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
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工程主页:3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing
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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
24.【深度估计】Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
25.【深度估计】Deeper into Self-Supervised Monocular Indoor Depth Estimation
26.【场景补全】PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
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工程主页:PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
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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
28.【Diffusion】Readout Guidance: Learning Control from Diffusion Features
29.【Diffusion】ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning
30.【Diffusion】DeepCache: Accelerating Diffusion Models for Free
31.【网络剪枝】Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
32.【网络剪枝】Physics Inspired Criterion for Pruning-Quantization Joint Learning
33.【姿态估计】Object 6D pose estimation meets zero-shot learning
34.【NeRF】Mesh-Guided Neural Implicit Field Editing
35.【NeRF】SANeRF-HQ: Segment Anything for NeRF in High Quality
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工程主页:SANeRF-HQ
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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
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工程主页:VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams
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开源代码(即将开源):https://github.com/aoliao12138/VideoRF
37.【NeRF】Self-Evolving Neural Radiance Fields
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工程主页:SE-NeRF
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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
39.【图像合成】Style Aligned Image Generation via Shared Attention
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工程主页:StyleAlign
40.【人脸重建】DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
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工程主页:DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
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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
42.【Visual Question Answering】How to Configure Good In-Context Sequence for Visual Question Answering
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