Research
Publications
* indicates equal contribution
2026
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Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation
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NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation
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Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision
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Connecting the Objects: Relational Occlusion Graphs for Amodal Segmentation
2025
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Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
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Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
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Cosmos World Foundation Model Platform for Physical AI
2024
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L4GM: Large 4D Gaussian Reconstruction Model
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DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields
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Diffusion Texture Painting
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Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
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EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
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EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
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WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
2023
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DreamTeacher: Pretraining Image Backbones with Deep Generative Models
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NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
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Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
2022
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PolymorphicGAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps
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BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
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Self-Supervised Driven Consistency Training for Annotation Efficient Histopathology Image Analysis
2021
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EditGAN: High-Precision Semantic Image Editing
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DriveGAN: Towards a Controllable High-Quality Neural Simulation
2020
2019
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Visual Reasoning by Progressive Module Networks
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The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
2018 & earlier
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Cascaded Pyramid Network for 3D Human Pose Estimation Challenge
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Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
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Transferring Knowledge to Smaller Network with Class-Distance Loss
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Combining Word Prediction and r-ary Huffman Coding for Text Entry