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most citedConfigurable Holography: Towards Display and Scene Adaptation

2 citations · 2 across the 5 of their papers we have counts for

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cs.CV20262 cited

Configurable Holography: Towards Display and Scene Adaptation

Yicheng Zhan, Liang Shi, Wojciech Matusik +2

Rendering holograms for holographic displays is often an iterative and computationally costly process. Emerging learned holography methods have alleviated this bottleneck by enabli…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

Image-GS: Content-Adaptive Image Representation via 2D Gaussians

Yunxiang Zhang, Bingxuan Li, Alexandr Kuznetsov +6

Neural image representations have emerged as a promising approach for encoding and rendering visual data. Combined with learning-based workflows, they demonstrate impressive trade-…