75 citations · 219 across the 18 of their papers we have counts for
10 papers · 1 filter
Infinite Gaze Generation for Videos with Autoregressive Diffusion
Jenna Kang, Colin Groth, Tong Wu +4
Predicting human gaze in video is fundamental to advancing scene understanding and multimodal interaction. While traditional saliency maps provide spatial probability distributions…
Foveation Improves Payload Capacity in Steganography
Lifeng Qiu Lin, Henry Kam, Qi Sun +1
Steganography finds its use in visual medium such as providing metadata and watermarking. With support of efficient latent representations and foveated rendering, we trained models…
GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts
Jenna Kang, Maria Silva, Patsorn Sangkloy +3
Recent advances in probabilistic generative models have extended capabilities from static image synthesis to text-driven video generation. However, the inherent randomness of their…
Cost-Aware Routing for Efficient Text-To-Image Generation
Qinchan Li, Kenneth Chen, Changyue Su +3
Diffusion models are well known for their ability to generate a high-fidelity image for an input prompt through an iterative denoising process. Unfortunately, the high fidelity als…
BudgetFusion: Perceptually-Guided Adaptive Diffusion Models
Qinchan Li, Kenneth Chen, Changyue Su +1
Diffusion models have shown unprecedented success in the task of text-to-image generation. While these models are capable of generating high-quality and realistic images, the compl…
Low Latency Point Cloud Rendering with Learned Splatting
Yueyu Hu, Ran Gong, Qi Sun +1
Point cloud is a critical 3D representation with many emerging applications. Because of the point sparsity and irregularity, high-quality rendering of point clouds is challenging a…