2 citations · 3 across the 35 of their papers we have counts for
3 papers · 2 filters
Decoupled Mode Connectivity for Base-to-Novel Generalization in Vision-Language Models
Imad Eddine Marouf, Khalid Oublal, Enzo Tartaglione +1
Prompt learning adapts vision-language models such as CLIP by optimizing a short learnable prompt. The cross-entropy objective pulls this prompt toward base-class specialization, w…
Nix and Fix: Targeting 1000x Compression of 3D Gaussian Splatting with Diffusion Models
Cem Eteke, Enzo Tartaglione
3D Gaussian Splatting (3DGS) revolutionized novel view rendering. Instead of inferring from dense spatial points, as implicit representations do, 3DGS uses sparse Gaussians. This e…
RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian Splatting
Hoang-Nhat Tran, Francesco Di Sario, Gabriele Spadaro +2
Recent advances in neural scene representations have transformed immersive multimedia, with 3D Gaussian Splatting (3DGS) enabling real-time photorealistic rendering. Despite its ef…