5 citations · 10 across the 7 of their papers we have counts for
10 papers
How Animals Dance (When You're Not Looking)
Xiaojuan Wang, Aleksander Holynski, Brian Curless +2
We present a framework for generating music-synchronized, choreography aware animal dance videos. Our framework introduces choreography patterns -- structured sequences of motion b…
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang, Boyang Zhou, Brian Curless +3
We present a method for generating video sequences with coherent motion between a pair of input key frames. We adapt a pretrained large-scale image-to-video diffusion model (origin…
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
Yifan Wang, Aleksander Holynski, Brian L. Curless +1
We present Infinite Texture, a method for generating arbitrarily large texture images from a text prompt. Our approach fine-tunes a diffusion model on a single texture, and learns…
Generative Powers of Ten
Xiaojuan Wang, Janne Kontkanen, Brian Curless +6
We present a method that uses a text-to-image model to generate consistent content across multiple image scales, enabling extreme semantic zooms into a scene, e.g., ranging from a…
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
Johanna Karras, Aleksander Holynski, Ting-Chun Wang +1
We present DreamPose, a diffusion-based method for generating animated fashion videos from still images. Given an image and a sequence of human body poses, our method synthesizes a…
SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage
Yifan Wang, Aleksander Holynski, Xiuming Zhang +1
A light stage uses a series of calibrated cameras and lights to capture a subject's facial appearance under varying illumination and viewpoint. This captured information is crucial…
Animating Pictures with Eulerian Motion Fields
Aleksander Holynski, Brian Curless, Steven M. Seitz +1
In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video. We target scenes with continuous fluid motion, such as…
Reducing Drift in Structure From Motion Using Extended Features
Aleksander Holynski, David Geraghty, Jan-Michael Frahm +2
Low-frequency long-range errors (drift) are an endemic problem in 3D structure from motion, and can often hamper reasonable reconstructions of the scene. In this paper, we present…
Seeing the World in a Bag of Chips
Jeong Joon Park, Aleksander Holynski, Steve Seitz
We address the dual problems of novel view synthesis and environment reconstruction from hand-held RGBD sensors. Our contributions include 1) modeling highly specular objects, 2) m…
Structure from Motion for Panorama-Style Videos
Chris Sweeney, Aleksander Holynski, Brian Curless +1
We present a novel Structure from Motion pipeline that is capable of reconstructing accurate camera poses for panorama-style video capture without prior camera intrinsic calibratio…