Discover the top 10 NVIDIA research projects of the year. From Neuralangelo’s high-fidelity neural surface reconstruction to Magic3D’s text-to-3D content creation, these projects push the boundaries of innovation in #AI.
You can find the details and links for each paper below:
✨ Neuralangelo: High-Fidelity Neural Surface Reconstruction
🏆 Winner of TIME Magazine Best Inventions of 2023
📗Paper: https://arxiv.org/abs/2306.03092
📹Video: https://youtu.be/PQMNCXR-WF8
✨Magic3D: High-Resolution Text-to-3D Content Creation
📗Paper: https://arxiv.org/abs/2211.10440
✨Hair Simulation: Interactive Hair Simulation on the GPU Using ADMM
📗Paper: https://research.nvidia.com/publication/2023-08_interactive-hair-simulation-gpu-using-admm
📹Video: https://youtu.be/ehesid36d4E
✨Eureka! Human-Level Reward Design via Coding Large Language Models
📗Paper: https://arxiv.org/abs/2310.12931
📹Video: https://youtu.be/sDFAWnrCqKc
✨Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
📗Paper: https://arxiv.org/abs/2304.08818
✨Text2Materials: Using Text or Image Prompts to Generate Custom Textured Materials
🏆 Winner of Real Time Live! at #SIGGRAPH2023
📗Blog: https://blogs.nvidia.com/blog/siggraph-research-generative-ai-materials-3d-scenes/
📹Video: https://youtu.be/nmTEuPIriLY
✨CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
📗Paper: https://arxiv.org/abs/2305.02195
✨Vid2Player3D: Learning Physically Simulated Tennis Skills from Broadcast Videos
🏆 Honorable Mention at #SIGGRAPH2023
📗Paper: https://research.nvidia.com/labs/toronto-ai/vid2player3d/
📹Video: https://youtube.com/shorts/1wF7RkPi8J8
✨FlexiCubes: Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
📗Paper: https://arxiv.org/abs/2308.05371
📹Video: https://youtu.be/2zuvMkj1Vi8
✨eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
📗Paper: https://arxiv.org/abs/2211.01324
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