Trends · 研究趋势
数据来自 Hugging Face 论文的 AI 提取关键词,按月统计研究方向的增长与热度。
Jiahao Li, Hao Tan, Kai Zhang +7 authors
Instant3D rapidly generates high-quality 3D assets from text using a two-stage approach involving a fine-tuned 2D diffusion model and a transformer-based reconstructor.
Eloi Alonso, Adam Jelley, Vincent Micheli +4 authors
DIAMOND, a reinforcement learning agent using a diffusion world model, achieves top performance on Atari 100k by capturing visual details effectively.
Kai Yang, Jian Tao, Jiafei Lyu +6 authors
D3PO method directly fine-tunes diffusion models using human feedback without requiring a separate reward model, reducing computational cost and improving image quality.
Yifeng Ma, Shiwei Zhang, Jiayu Wang +3 authors
DreamTalk enables expressive talking head generation using diffusion models with specialized components for denoising, lip-sync, and style prediction.
Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang +6 authors
Fairy, an adaptation of image-editing diffusion models for video editing, uses anchor-based cross-frame attention to enhance temporal coherence and efficiency, outperforming existing methods.
Koorosh Roohi, Javad Rajabi, Andrew Fleet +1 authors
PhotoQuilt is a training-free framework that generates high-resolution photomosaics by combining global layout composition with separate tile generation in latent space, overcoming limitations of diffusion models in balancing local detail and global structure.
Zeju Qiu, Weiyang Liu, Haiwen Feng +6 authors
Orthogonal Finetuning and Constrained Orthogonal Finetuning methods enhance text-to-image diffusion models by preserving hyperspherical energy and improving stability, leading to better generation quality and speed.
Yuheng Li, Haotian Liu, Yangming Wen +1 authors
A text-to-image diffusion model is enhanced with adapter layers and regionally-guided sampling to achieve controlled generation of personalized objects with high fidelity.
Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin +8 authors
Wonder3D leverages cross-domain diffusion models and geometry-aware normal fusion for high-quality, efficient, and consistent 3D mesh generation from single-view images.
Yujun Shi, Chuhui Xue, Jiachun Pan +3 authors
DragDiffusion extends interactive point-based image editing to diffusion models, offering precise spatial control and high-quality editing across diverse scenarios.
Ke Chen, Yusong Wu, Haohe Liu +3 authors
A text-to-music model named MusicLDM, based on Stable Diffusion and AudioLDM, overcomes limitations in music data and plagiarism with beat tracking and mixup strategies, enhancing music quality, novelty, and text correspondence.
Zhengyi Wang, Cheng Lu, Yikai Wang +4 authors
Variational score distillation addresses issues in text-to-3D generation by modeling 3D parameters as random variables, improving sample quality and diversity.
Yuxin Wen, John Kirchenbauer, Jonas Geiping +1 authors
A novel technique called Tree-Ring Watermarking robustly fingerprints diffusion model outputs by embedding a pattern into the initial noise vector and is invariant to various image transformations.
Joseph Zhu, Peiye Zhuang
Reformulating optimization loss with diffusion prior and introducing depth supervision improve text-to-3D synthesis quality and multi-view consistency.
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