近日,世界三大顶级视觉会议之一ICCV公开了最新录用结果。
根据文件里给出的ID,总共有2160篇论文入选。
我们整理了部分录用论文及其代码合集(持续更新…)
[1] Rethinking Mobile Block for Efficient Attention-based Models
[Area]backbone
[2] IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
[Code]https://zju3dv.github.io/intrinsic_nerf/
[Area]NeRF
[3] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
[Code]PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
[Area]Diffusion Models
[4] FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
[Area]Diffusion Models
[5] Femtodet: an object detection baseline for energy versus performance tradeoffs
[Code]https://github.com/yh-pengtu/FemtoDet
[Area]目标检测
[6] Segment Anything
[Area]语义分割
[7] MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
[Area]语义分割
[8] DVIS: Decoupled Video Instance Segmentation Framework
[Code]GitHub - zhang-tao-whu/DVIS: DVIS: Decoupled Video Instance Segmentation Framework
[Area]视频实例分割
[9] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
[Area]3D点云
[10] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
[Area]3D目标检测
[11] DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
[Code]GitHub - AIR-DISCOVER/DQS3D: DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
[Area]3D目标检测
[12] SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
[Area]3D目标检测
[13] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
[Area]3D目标检测
[14] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
[Code]https://github.com/junjie18/CMT
[Area]3D目标检测
[15] Rethinking Range View Representation for LiDAR Segmentation
[Code]None
[Area]3D语义分割
[16] Unmasked Teacher: Towards Training-Efficient Video Foundation Models
[Area]视频理解
[17] FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
[Area]图像生成
[18] Simulating Fluids in Real-World Still Images
[Code]https://github.com/simon3dv/SLR-SFS
[Area]视频生成
[19] FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
[Code]Fate/Zero
[Area]视频编辑
[20] Implicit Neural Representation for Cooperative Low-light Image Enhancement
[Code]https://github.com/Ysz2022/NeRCo
[Area]低光照图像增强