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本文汇总了 CVPR 2024 所有的研讨会(下篇),会议中既有延续举办的经典研讨会,也有首次举办的全新研讨会。大部分研讨会的论文征稿已经截止,部分接收的论文也已经公布,欢迎感兴趣的伙伴先行查阅。
另外,CVPR 2024 收录论文已更新在 Github 库,欢迎 star ⭐。
Github:https://github.com/52CV/CVPR-2024-Papers
项目主页:https://generative-vision.github.io/workshop-CVPR-24/
研讨会聚焦于图像合成和计算机视觉交叉领域所面临的挑战和机遇,探讨相关技术和应用问题。
接收长篇论文:TBD
接收短篇论文:
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
Generative AI in Vision: A Survey on Models, Metrics and Applications
Robustness of Generative Models using Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
Intrinsic LoRA: A Generalist Approach for Discovering Knowledge in Generative Models
GL-NeRF: Gauss-Laguerre Quadrature for Volume Rendering
Synthesizing Image with High-Quality Segmentation Mask by Prompting Large Vision Model
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
Posterior Distillation Sampling
Learning Compositional Language-based Object Detection with Diffusion-based Synthetic Data
KOALA: Fast and Memory-Efficient Latent Diffusion Models via Self-Attention Distillation
Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos
Diffusion Models for Open-Vocabulary Segmentation
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models
Do Counterfactual Examples Complicate Adversarial Training?
CAT: Contrastive Adapter Training for Personalized Image Generation
ZoomLDM: Latent Diffusion Model for multi-scale conditional histopathology image generation
Causal Diffusion Autoencoders: Toward Representation-Enabled Counterfactual Generation via Diffusion Probabilistic Models
Spatially Composable Diffusion
Learning Multimodal Latent Space with EBM Prior and MCMC Inference
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