157 citations · 238 across the 9 of their papers we have counts for
12 papers
Frequency-Adaptive Gaussian Grids for Efficient Image Representation
Anatolii Evdokimov, Stavros Diolatzis, Bingxuan Li +3
Neural representation has emerged as a powerful tool to mitigate the demand for increasingly higher-resolution images. However, a fundamental trade-off remains between structured (…
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…
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…
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
Sasikarn Khwanmuang, Pakkapon Phongthawee, Patsorn Sangkloy +1
Our paper seeks to transfer the hairstyle of a reference image to an input photo for virtual hair try-on. We target a variety of challenges scenarios, such as transforming a long h…
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch
Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang +1
We address the problem of retrieving images with both a sketch and a text query. We present TASK-former (Text And SKetch transformer), an end-to-end trainable model for image retri…
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy +8
We present Argoverse -- two datasets designed to support autonomous vehicle machine learning tasks such as 3D tracking and motion forecasting. Argoverse was collected by a fleet of…
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal +3
We propose a novel procedure which adds "content-addressability" to any given unconditional implicit model e.g., a generative adversarial network (GAN). The procedure allows users…
Informative Features for Model Comparison
Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy +3
Given two candidate models, and a set of target observations, we address the problem of measuring the relative goodness of fit of the two models. We propose two new statistical tes…
Let's Dance: Learning From Online Dance Videos
Daniel Castro, Steven Hickson, Patsorn Sangkloy +4
In recent years, deep neural network approaches have naturally extended to the video domain, in their simplest case by aggregating per-frame classifications as a baseline for actio…
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
Wenqi Xian, Patsorn Sangkloy, Varun Agrawal +5
In this paper, we investigate deep image synthesis guided by sketch, color, and texture. Previous image synthesis methods can be controlled by sketch and color strokes but we are t…
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy, Jingwan Lu, Chen Fang +2
Recently, there have been several promising methods to generate realistic imagery from deep convolutional networks. These methods sidestep the traditional computer graphics renderi…