5 papers
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…
PoDAR: Power-Disentangled Audio Representation for Generative Modeling
Alejandro Luebs, Mithilesh Vaidya, Ishaan Kumar +5
The performance of audio latent diffusion models is primarily governed by generator expressivity and the modelability of the underlying latent space. While recent research has focu…
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…
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…
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…