hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final
((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z): \C^3\to \C^3, has jacobian determinant -2, and sends (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to (-1/4, 0, 0)
🏆Outstanding Paper is awarded to the following research papers:
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions
🏆Outstanding Paper is awarded to the following research papers:
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions
We’re excited to launch #MagicLayers globally at Canva 🚀🚀🚀
This is currently the most advanced image-to-layer decomposition model in the world-purpose-built for design-native content.
⚡ 20–200× faster than Qwen-Image-Layer
🎨 Super strong on designs
https://t.co/vQ7cCPnGGZ
[1/2] Most image gen models output flat pixels. Users need layers. Our MRT (CVPR'2026) closes that gap and supports:
• text → layers
• image → layers
• layers → layers
🔥 New SOTA on all three tasks
🔥 Beats Qwen-Image-Layered
🔥 10–100× faster, 50–90% less GPU memory
🚨The "killer feature" of diffusion LLMs (arbitrary order) might actually be killing their reasoning potential.
🚀Introducing JustGRPO: An embarrassingly simple approach for better realizing reasoning potential in dLLMs.
🔗https://t.co/yQsYrUV61h
First author @ZanlinNi1
🧵⬇️
Bringing sCM & MeanFlow to Text-to-Image! 🎨📷
A new guide from @LeapLabTHU and AlibabaDAMO for distilling a 8B FLUX.1-lite into a high-performance, few-step generator.
Paper: https://t.co/bwzSq4X71n
Code: https://t.co/QWWh19dNVg