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Found 5 papers, 2 papers with code
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
We show that MCM enables user control over the spatial layout of the image and leads to increased control over the image generation process.
CoGS: Controllable Generation and Search from Sketch and Style
CoGS enables exploration of diverse appearance possibilities for a given sketched object, enabling decoupled control over the structure and the appearance of the output.
Density of States Estimation for Out-of-Distribution Detection
Drawing on the statistical physics notion of ``density of states,'' the DoSE decision rule avoids direct comparison of model probabilities, and instead utilizes the ``probability of the model probability,'' or indeed the frequency of any reasonable statistic.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
+1
Automatic Differentiation Variational Inference with Mixtures
Automatic Differentiation Variational Inference (ADVI) is a useful tool for efficiently learning probabilistic models in machine learning.
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
We present ContactDB, a novel dataset of contact maps for household objects that captures the rich hand-object contact that occurs during grasping, enabled by use of a thermal camera.
Ranked #1 on
Grasp Contact Prediction
on ContactDB
