Check out this new paper from Willis on inference time scaling of diffusion models!

Willis (Nanye) Ma@nanye-ma.bsky.social · 2y ago

Inference-time scaling for LLMs improves the model's ability in many perspectives, but what about diffusion models? In our latest study—Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps—we reframe inference-time scaling as a search problem over sampling noises. 🧵[1/n]

two exciting directions for diffusion models in 2025: either going (extremely) small or going (extremely) big with your steps

Visual-spatial intelligence–we rely on it to perceive, interact, and navigate our everyday spaces. To what capacity do MLLMs possess it? Do they mirror how humans think and reason about space? Presenting “Thinking in Space: How Multimodal Models See, Remember, and Recall Spaces”! [1/n]