- Deep Image Prior
- Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
- SceneGen: Learning to Generate Realistic Traffic Scenes
- The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
- CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
- Learning Gradient Fields for Shape Generation
- Character Controllers using Motion VAEs
- StyleGAN2 Distillation for Feed-forward Image Manipulation
- Meta-Sim: Learning to Generate Synthetic Datasets
- Contrastive Learning for Unpaired Image-to-Image Translation
- In-Domain GAN Inversion for Real Image Editing
- GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
- PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
- Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
- Generative Visual Manipulation on the Natural Image Manifold
- Rewriting a Deep Generative Model
- House-GAN++: Generative Adversarial Layout Refinement Networks
- Phase-Functioned Neural Networks for Character Control
- Generative Hierarchical Features from Synthesizing Images
- Learning To Simulate
- Closed-Form Factorization of Latent Semantics in GANs
- Interpreting the Latent Space of GANs for Semantic Face Editing
- BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
- Seeing What a GAN Cannot Generate
- Generative 3D Part Assembly via Dynamic Graph Learning
- StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
- Image Processing Using Multi-Code GAN Prior
- Swapping Autoencoder for Deep Image Manipulation
- Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
- Learning to Factorize and Relight a City
- Direct Steering of de novo Molecular Generation using Descriptor Conditional Recurrent Neural Networks (cRNNs)
- Semantic Photo Manipulation with a Generative Image Prior
- Instance Selection for GANs
- Local Motion Phases for Learning Multi-Contact Character Movements
- Local Motion Phases for Learning Multi-Contact Character Movements
- Mode-Adaptive Neural Networks for Quadruped Motion Control
- DeepLandscape: Adversarial Modeling of Landscape Videos
- Neural State Machine for Character-Scene Interactions
- Neural Animation Layering for Synthesizing Martial Arts Movements