3d representation learning

E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training CVPR 2026 Point-SRA: Self-Representation Alignment for 3D Representation Learning AAAI 2026 Duoduo CLIP: Efficient 3D Understanding with Multi-View Images ICLR 2025 MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025 Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner ICCV 2025 The FineView Dataset:A 3D Scanned Multi-View Object Dataset of Fine-Grained Category Instances WACV 2025 Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views ICCV 2025 Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception CVPR 2024 DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision CVPR 2024 Point Transformer V3: Simpler Faster Stronger CVPR 2024 SUGAR: Pre-training 3D Visual Representations for Robotics CVPR 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining ICML 2023 DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects CVPR 2023 Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning CVPR 2023 AR-NeRF: Unsupervised Learning of Depth and Defocus Effects From Natural Images With Aperture Rendering Neural Radiance Fields CVPR 2022 RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis ICLR 2020 HoloGAN: Unsupervised Learning of 3D Representations From Natural Images ICCV 2019