3 papers
cs.CV2026
ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE
Mishan Aliev, Eva Neudachina, Ilya Bykov +4
Modern diffusion models generate high-quality images and videos, but their iterative denoising process makes inference expensive. Feature caching accelerates sampling by reusing or…
cs.CV2025
MADrive: Memory-Augmented Driving Scene Modeling
Polina Karpikova, Daniil Selikhanovych, Kirill Struminsky +3
Recent advances in scene reconstruction have pushed toward highly realistic modeling of autonomous driving (AD) environments using 3D Gaussian splatting. However, the resulting rec…
cs.CV2025
CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading
Mishan Aliev, Dmitry Baranchuk, Kirill Struminsky
This work investigates text-to-texture synthesis using diffusion models to generate physically-based texture maps. We aim to achieve realistic model appearances under varying light…