#siggraph2025

Video generation of humans with control over body pose and facial expressions is crucial for a plethora of applications. Towards this goal, we introduce a new interspatial attention (ISA) mechanism as a scalable building block for DiT–based video generation models #SIGGRAPH2025
Gordon Wetzstein28,407 görüntüleme • 1 yıl önce

Quick “teaser” for a fun #SIGGRAPH2025 project, led by Hossein Baktash, on optimizing a shape to have the desired rolling statistics. Basically we can turn arbitrary objects into fair dice, or make dice which capture the statistics of other objects—like several coin flips.
Keenan Crane17,791 görüntüleme • 1 yıl önce

Step into the future of video intelligence at #SIGGRAPH2025 in Vancouver. Visit the booth spotlighting the HP ZGX Nano AI Station, powered by NVIDIA DGX Spark. Watch the NVIDIA AI Blueprint for Video Search & Summarization (VSS) turn live or archived footage into: ✨ Searchable highlights ✨ Instant summaries ✨ Real-time interactive Q&A
NVIDIA AI13,547 görüntüleme • 10 ay önce

Want to have explicit control over skeletal pose, facial expressions, and hand gestures for your photorealistic virtual avatar that can be learned from multi-view video? Check out our #Siggraph2025 work, EVA, which presents an expressive, full-body, and photorealistic avatar.
Marc Habermann12,515 görüntüleme • 1 yıl önce
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