52 citations · 94 across the 18 of their papers we have counts for
10 papers · 1 filter
Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation
Matthew Bendel, Stephen W. Bailey, Mithilesh Vaidya +2
Long-horizon video generation suffers from two intertwined issues. First, there is drift, where video quality degrades over time. Second, there are continuity issues which manifest…
DreamTexture: Shape from Virtual Texture with Analysis by Augmentation
Ananta R. Bhattarai, Xingzhe He, Alla Sheffer +1
DreamFusion established a new paradigm for unsupervised 3D reconstruction from virtual views by combining advances in generative models and differentiable rendering. However, the u…
Unsupervised Keypoints from Pretrained Diffusion Models
Eric Hedlin, Gopal Sharma, Shweta Mahajan +5
Unsupervised learning of keypoints and landmarks has seen significant progress with the help of modern neural network architectures, but performance is yet to match the supervised…
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
Xingzhe He, Zhiwen Cao, Nicholas Kolkin +4
Large text-to-image models have revolutionized the ability to generate imagery using natural language. However, particularly unique or personal visual concepts, such as pets and fu…
Few-shot Geometry-Aware Keypoint Localization
Xingzhe He, Gaurav Bharaj, David Ferman +2
Supervised keypoint localization methods rely on large manually labeled image datasets, where objects can deform, articulate, or occlude. However, creating such large keypoint labe…
LatentKeypointGAN: Controlling Images via Latent Keypoints -- Extended Abstract
Xingzhe He, Bastian Wandt, Helge Rhodin
Generative adversarial networks (GANs) can now generate photo-realistic images. However, how to best control the image content remains an open challenge. We introduce LatentKeypoin…
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
Xingzhe He, Bastian Wandt, Helge Rhodin
Structured representations such as keypoints are widely used in pose transfer, conditional image generation, animation, and 3D reconstruction. However, their supervised learning re…
GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
Xingzhe He, Bastian Wandt, Helge Rhodin
Segmenting an image into its parts is a frequent preprocess for high-level vision tasks such as image editing. However, annotating masks for supervised training is expensive. Weakl…
LatentKeypointGAN: Controlling Images via Latent Keypoints
Xingzhe He, Bastian Wandt, Helge Rhodin
Generative adversarial networks (GANs) have attained photo-realistic quality in image generation. However, how to best control the image content remains an open challenge. We intro…
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing
Xingzhe He, Helen Lu Cao, Bo Zhu
This paper presents a novel physics-inspired deep learning approach for point cloud processing motivated by the natural flow phenomena in fluid mechanics. Our learning architecture…