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cs.CV2026
Complexity-Balanced Diffusion Splitting
Noam Issachar, Dani Lischinski, Raanan Fattal
Standard continuous-time generative models rely on monolithic architectures that must navigate vastly different signal regimes, from isotropic noise to intricate data distributions…
cs.CV2026
Colored Noise Diffusion Sampling
Hadar Davidson, Noam Issachar, Sagie Benaim
Diffusion models achieve state-of-the-art image synthesis, with their generative trajectories fundamentally exhibiting a spectral bias, resolving low-frequency global structures ea…
cs.CV2026
GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens
Roni Itkin, Noam Issachar, Yehonatan Keypur +3
The efficient spatial allocation of primitives serves as the foundation of 3D Gaussian Splatting, as it directly dictates the synergy between representation compactness, reconstruc…