23 citations · 48 across the 14 of their papers we have counts for
10 papers · 1 filter
Bimanual 3D Hand Motion and Articulation Forecasting in Everyday Images
Aditya Prakash, David Forsyth, Saurabh Gupta
We tackle the problem of forecasting bimanual 3D hand motion & articulation from a single image in everyday settings. To address the lack of 3D hand annotations in diverse settings…
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions
Aditya Prakash, Benjamin Lundell, Dmitry Andreychuk +3
We tackle the novel problem of predicting 3D hand motion and contact maps (or Interaction Trajectories) given a single RGB view, action text, and a 3D contact point on the object a…
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
Jeffrey Zhang, Kedan Li, Shao-Yu Chang +1
Virtual Try-on (VTON) involves generating images of a person wearing selected garments. Diffusion-based methods, in particular, can create high-quality images, but they struggle to…
Preserving Image Properties Through Initializations in Diffusion Models
Jeffrey Zhang, Shao-Yu Chang, Kedan Li +1
Retail photography imposes specific requirements on images. For instance, images may need uniform background colors, consistent model poses, centered products, and consistent light…
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang +1
Dense depth and surface normal predictors should possess the equivariant property to cropping-and-resizing -- cropping the input image should result in cropping the same output ima…
Convex Decomposition of Indoor Scenes
Vaibhav Vavilala, David Forsyth
We describe a method to parse a complex, cluttered indoor scene into primitives which offer a parsimonious abstraction of scene structure. Our primitives are simple convexes. Our m…