Segment objects by expanding high-quality regions with CorrMatch
Detect new objects by using a model to automatically give more annotations with RAM
Get 3D shape of object by neural reconstruction by derivatives and coarse-to-fine with Neuralangelo
Reconstruct room and polygonal scenes using guided diffusion with PolyDiffuse
Indoor 3D scene reconstruction using a sparse 3D diffusion network with DiffRoom
Segment new object classes using predictions from related old classes with RaSP
Get 3D shape of object by neural reconstruction that models photon-particle interaction with ReTR
Complete point clouds using prior knowledge and causal inference with Point-PC
Get 3D shape of object having real-time rendering using neural volume and texture with NeuManifold
Survey of video human action recognition using deep neural networks
Survey of self-supervised learning for point cloud data
Survey of self-supervised learning using images for generative and discriminative training
Indoor 3D scene reconstruction 10x faster learn and 100x faster render using sparse voxels with Dong
Survey of YOLO from YOLOV1 to YOLOv8 and YOLO-NAS
Survey of question answering on images
Survey of vision transformers and hybrid CNN-transformer variants
Deblur, super-resolution, and inpainting using an efficient diffusion model with DiffPIR
Segment objects by learning a stable hardness value for pixels with Hardness-Level-Learning
Get 3D shape of object by neural reconstruction using bundle of rays with BundleRecon
Unsupervised 3D point cloud segmentation using multicut graph algorithm on features with FreePoint