Shenghua Gao
Computer Vision and Pattern Recognition · with Cheng · 2024
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it
- Computer Graphics and Computer-Aided Design — 34 citations into it
Whom Shenghua Gao trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Peng Wang (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
Papers from Shenghua Gao's perspective
Ordered by how strongly the researchers Shenghua Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
- Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- DreamFusion: Text-to-3D using 2D Diffusion
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Point-E: A System for Generating 3D Point Clouds from Complex Prompts (arXiv.org)
- Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (Computer Vision and Pattern Recognition)
- Magic3D: High-Resolution Text-to-3D Content Creation (Computer Vision and Pattern Recognition)