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Training Video Foundation Models with NVIDIA NeMo
Zeeshan Patel, Ethan He, Parth Mannan +26
Video Foundation Models (VFMs) have recently been used to simulate the real world to train physical AI systems and develop creative visual experiences. However, there are significa…
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models
Rohit Jena, Ali Taghibakhshi, Sahil Jain +3
Text-to-image (T2I) diffusion models have become prominent tools for generating high-fidelity images from text prompts. However, when trained on unfiltered internet data, these mod…
StyleSplat: 3D Object Style Transfer with Gaussian Splatting
Sahil Jain, Avik Kuthiala, Prabhdeep Singh Sethi +1
Recent advancements in radiance fields have opened new avenues for creating high-quality 3D assets and scenes. Style transfer can enhance these 3D assets with diverse artistic styl…