2023.02.22 ArXiv精選
關(guān)注領(lǐng)域：
AIGC
3D computer vision learning
Fine-grained learning
GNN
其他
聲明
論文較多，時(shí)間有限，本專欄無法做文章的講解，只挑選出符合PaperABC研究興趣和當(dāng)前熱點(diǎn)問題相關(guān)的論文，如果你的research topic和上述內(nèi)容有關(guān)，那本專欄可作為你的論文更新源或Paper reading list．
Paper list:
AIGC:
1. Composer: Creative and Controllable Image Synthesis with Composable Conditions
2. Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
3. 3D-aware Conditional Image Synthesis
4. Text-driven Visual Synthesis with Latent Diffusion Prior
5. LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
6. Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
7. On Calibrating Diffusion Probabilistic Models
細(xì)粒度學(xué)習(xí)：
1. Semantic Feature Integration network for
Fine-grained Visual Classification
3D 視覺：
1. MVFusion: Multi-View 3D Object Detection with Semantic-aligned
Radar and Camera Fusion
2. Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention
3. USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency
4. MonoPGC: Monocular 3D Object Detection with
Pixel Geometry Contexts
5. RealFusion 360? Reconstruction of Any Object from a Single Image
6. PC2 : Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction????
自監(jiān)督學(xué)習(xí)：
1. Self-supervised learning of Split Invariant Equivariant representations
