CVPR 2024 decisions are now available on OpenReview!
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- 3DGS(Gaussian Splatting)
- Avatars
- Backbone
- CLIP
- MAE
- Embodied AI
- GAN
- GNN
- 多模态大语言模型(MLLM)
- NAS
- OCR
- NeRF
- DETR
- Prompt
- Diffusion Models(扩散模型)
- ReID(重识别)
- 长尾分布(Long-Tail)
- Vision Transformer
- 视觉和语言(Vision-Language)
- 自监督学习(Self-supervised Learning)
- 数据增强(Data Augmentation)
- 目标检测(Object Detection)
- 目标跟踪(Visual Tracking)
- 语义分割(Semantic Segmentation)
- 实例分割(Instance Segmentation)
- 全景分割(Panoptic Segmentation)
- 医学图像(Medical Image)
- 医学图像分割(Medical Image Segmentation)
- 视频目标分割(Video Object Segmentation)
- 视频实例分割(Video Instance Segmentation)
- 参考图像分割(Referring Image Segmentation)
- 图像抠图(Image Matting)
- 图像编辑(Image Editing)
- Low-level Vision
- 超分辨率(Super-Resolution)
- 去噪(Denoising)
- 去模糊(Deblur)
- 自动驾驶(Autonomous Driving)
- 3D点云(3D Point Cloud)
- 3D目标检测(3D Object Detection)
- 3D语义分割(3D Semantic Segmentation)
- 3D目标跟踪(3D Object Tracking)
- 3D语义场景补全(3D Semantic Scene Completion)
- 3D配准(3D Registration)
- 3D人体姿态估计(3D Human Pose Estimation)
- 3D人体Mesh估计(3D Human Mesh Estimation)
- 医学图像(Medical Image)
- 图像生成(Image Generation)
- 视频生成(Video Generation)
- 视频理解(Video Understanding)
- 行为检测(Action Detection)
- 文本检测(Text Detection)
- 知识蒸馏(Knowledge Distillation)
- 模型剪枝(Model Pruning)
- 图像压缩(Image Compression)
- 异常检测(Anomaly Detection)
- 三维重建(3D Reconstruction)
- 深度估计(Depth Estimation)
- 轨迹预测(Trajectory Prediction)
- 车道线检测(Lane Detection)
- 图像描述(Image Captioning)
- 视觉问答(Visual Question Answering)
- 手语识别(Sign Language Recognition)
- 视频预测(Video Prediction)
- 新视点合成(Novel View Synthesis)
- Zero-Shot Learning(零样本学习)
- 立体匹配(Stereo Matching)
- 特征匹配(Feature Matching)
- 场景图生成(Scene Graph Generation)
- 隐式神经表示(Implicit Neural Representations)
- 图像质量评价(Image Quality Assessment)
- 数据集(Datasets)
- 新任务(New Tasks)
- 其他(Others)
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
- Homepage: https://city-super.github.io/scaffold-gs/
- Paper: https://arxiv.org/abs/2312.00109
- Code: https://github.com/city-super/Scaffold-GS
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
- Homepage: https://shunyuanzheng.github.io/GPS-Gaussian
- Paper: https://arxiv.org/abs/2312.02155
- Code: https://github.com/ShunyuanZheng/GPS-Gaussian
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
- Homepage: https://ingra14m.github.io/Deformable-Gaussians/
- Paper: https://arxiv.org/abs/2309.13101
- Code: https://github.com/ingra14m/Deformable-3D-Gaussians
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
- Homepage: https://yihua7.github.io/SC-GS-web/
- Paper: https://arxiv.org/abs/2312.14937
- Code: https://github.com/yihua7/SC-GS
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
RepViT: Revisiting Mobile CNN From ViT Perspective
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
- Homepage: https://tai-wang.github.io/embodiedscan/
- Paper: https://arxiv.org/abs/2312.16170
- Code: https://github.com/OpenRobotLab/EmbodiedScan
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
- Homepage: https://iranqin.github.io/MP5.github.io/
- Paper: https://arxiv.org/abs/2312.07472
- Code: https://github.com/IranQin/MP5
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
An Empirical Study of Scaling Law for OCR
- Paper: https://arxiv.org/abs/2401.00028
- Code: https://github.com/large-ocr-model/large-ocr-model.github.io
DETRs Beat YOLOs on Real-time Object Detection
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
- Paper: https://arxiv.org/abs/2311.04257
- Code: https://github.com/X-PLUG/mPLUG-Owl/tree/main/mPLUG-Owl2
Link-Context Learning for Multimodal LLMs
- Paper: https://arxiv.org/abs/2308.07891
- Code: https://github.com/isekai-portal/Link-Context-Learning/tree/main
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
InstanceDiffusion: Instance-level Control for Image Generation
Residual Denoising Diffusion Models
DeepCache: Accelerating Diffusion Models for Free
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
RepViT: Revisiting Mobile CNN From ViT Perspective
DETRs Beat YOLOs on Real-time Object Detection
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
UniMODE: Unified Monocular 3D Object Detection
Edit One for All: Interactive Batch Image Editing
- Homepage: https://thaoshibe.github.io/edit-one-for-all
- Paper: https://arxiv.org/abs/2401.10219
- Code: https://github.com/thaoshibe/edit-one-for-all
Residual Denoising Diffusion Models
SeD: Semantic-Aware Discriminator for Image Super-Resolution
InstanceDiffusion: Instance-level Control for Image Generation
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations
-
Homepage: https://eclipse-t2i.vercel.app/
Instruct-Imagen: Image Generation with Multi-modal Instruction
Residual Denoising Diffusion Models
UniGS: Unified Representation for Image Generation and Segmentation
Vlogger: Make Your Dream A Vlog
VBench: Comprehensive Benchmark Suite for Video Generative Models
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
- Paper: https://arxiv.org/abs/2311.17005
- Code: https://github.com/OpenGVLab/Ask-Anything/tree/main/video_chat2
Logit Standardization in Knowledge Distillation
- Paper: https://arxiv.org/abs/2403.01427
- Code: https://github.com/sunshangquan/logit-standardization-KD
Efficient Dataset Distillation via Minimax Diffusion
Object Recognition as Next Token Prediction
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
Seamless Human Motion Composition with Blended Positional Encodings
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
-
Homepage: https://ll3da.github.io/
CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
- Homepage: https://clova-tool.github.io/
- Paper: https://arxiv.org/abs/2312.10908
MoMask: Generative Masked Modeling of 3D Human Motions
Amodal Ground Truth and Completion in the Wild