A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Junsong Chen, Jincheng Yu, Yitong Li, et al.
SANA-Video 2.0 introduces hybrid linear-softmax attention and attention residuals to achieve softmax-level video quality with linear-complexity scaling, enabling 720p generation on a single GPU.
Yueyi Liu, Chi Zhang, Sen Cui, et al.
ElasticTTT introduces a prior-preserving test-time tuning framework for video editing that prevents prior collapse via target distribution regularization, contrastive CFG, and asynchronous noise scheduling.
Chitwan Saharia, Jonathan Ho, William Chan, et al.
SR3 adapts denoising diffusion probabilistic models to image super-resolution via iterative refinement, achieving near-perfect fool rates on face super-resolution.
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, et al.
A comprehensive survey of denoising diffusion models in computer vision, covering theoretical frameworks, relations to other generative models, and future research directions.
Ajay Bandi, Pydi Venkata Satya Ramesh Adapa, Yudu Eswar Vinay Pratap Kumar Kuchi
A comprehensive review of generative AI covering requirements, model taxonomy, input-output formats, and evaluation metrics.
Tuhin Chakrabarty, Xinyue Liu, Jane C. Ginsburg, et al.
Generative AI books flood Amazon, gaining sales share and top ranks despite lower quality, diluting revenue per book.
Junhao Zhuang, Shiyi Zhang, Yuxuan Bian, et al.
Self Gradient Forcing (SGF) restores missing supervision from future losses to earlier generated latents via a two-pass training strategy, enabling native long-video extrapolation beyond the training window.
Hao Liu, Chenghuan Huang, Ye Huang, et al.
FVAttn is a training-free sparse-attention system that uses runtime load balancing and slack-aware augmentation to improve distributed execution efficiency for video generation.