Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
An RL framework that fine-tunes image layer decomposition models using VLM-as-judge rewards, eliminating paired supervision.
ciara-rowles
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1 min read
OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under Optimal Squared Error Quantization
A rotation-preconditioned KV cache codec that jointly quantizes coordinate triplets via an octahedral map, achieving state-of-the-art compression across text, video, and audio …
ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.
Distribution matching is central to many vision and graphics tasks, where the widely used Wasserstein distance is too costly to compute for high dimensional distributions. The …
Single Image BRDF Parameter Estimation with a Conditional Adversarial Network
Creating plausible surfaces is an essential component in achieving a high degree of realism in rendering. To relieve artists, who create these surfaces in a time-consuming, manual …