#icml2026

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🚨Coming to #ICML2026 🇰🇷 Last year, we introduced Block Diffusion LMs, adopted by dLLMs at Google, NVIDIA, Meta, etc. 🚀Today, we introduce Set Diffusion, a faster, more flexible alternative that combines AR and diffusion by interpolating generation orders. 🧵1/8

🚨Coming to #ICML2026 🇰🇷 Last year, we introduced Block Diffusion LMs, adopted by dLLMs at Google, NVIDIA, Meta, etc. 🚀Today, we introduce Set Diffusion, a faster, more flexible alternative that combines AR and diffusion by interpolating generation orders. 🧵1/8

Marianne Arriola

62,243 Aufrufe • vor 1 Monat

Why choose between autoregressive (fast, streaming) and bidirectional (high-quality) video diffusion when a single model can do both even better? Excited to share Flex-Forcing, accepted as spotlight at #ICML2026! 📍Say hi to Chao Liu at our poster: July 9 | 2:30 - 4:15 PM KST | Hall A #3909 Joint work with Xinyin Ma Weili Nie Arash Vahdat Xinchao Wang

Why choose between autoregressive (fast, streaming) and bidirectional (high-quality) video diffusion when a single model can do both even better? Excited to share Flex-Forcing, accepted as spotlight at #ICML2026! 📍Say hi to Chao Liu at our poster: July 9 | 2:30 - 4:15 PM KST | Hall A #3909 Joint work with Xinyin Ma Weili Nie Arash Vahdat Xinchao Wang

10,342 Aufrufe • vor 1 Monat

Excited to share HOI-PAGE, to appear at #ICML2026! 🚀 Lei Li generates 4D human-object interactions zero-shot from text A part-affordance graph grounds interactions via LLM+video priors, enabling complex multi-person, multi-object interactions 👉

Excited to share HOI-PAGE, to appear at #ICML2026! 🚀 Lei Li generates 4D human-object interactions zero-shot from text A part-affordance graph grounds interactions via LLM+video priors, enabling complex multi-person, multi-object interactions 👉

12,245 Aufrufe • vor 3 Monaten

Our paper “Learning Situated Awareness in the Real World” has been accepted to #ICML2026 as a Spotlight (top 2.2%)! Congrats to Chuhan Li and the team! We introduce SAW-Bench, a real-world egocentric benchmark for evaluating situated (first-person) spatial reasoning in multimodal models, uncovering a large gap between humans and current systems. All videos recorded via Meta Ray-Ban 2 glasses!

Our paper “Learning Situated Awareness in the Real World” has been accepted to #ICML2026 as a Spotlight (top 2.2%)! Congrats to Chuhan Li and the team! We introduce SAW-Bench, a real-world egocentric benchmark for evaluating situated (first-person) spatial reasoning in multimodal models, uncovering a large gap between humans and current systems. All videos recorded via Meta Ray-Ban 2 glasses!

11,545 Aufrufe • vor 4 Monaten

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