2 papers
cs.CV2026
Image Tokenizers Should Be Trained Between Images
Ole Beißwenger, Jan-Niklas Dihlmann, Hendrik Lensch
Latent diffusion models generate images as codes of an image tokenizer, whose decoder turns them into the pixel image. Recent tokenizers improve how well these codes reconstruct an…
cs.CV2025
FrameDiffuser: G-Buffer-Conditioned Diffusion for Neural Forward Frame Rendering
Ole Beisswenger, Jan-Niklas Dihlmann, Hendrik P. A. Lensch
Neural rendering for interactive applications requires translating geometric and material properties (G-buffer) to photorealistic images with realistic lighting on a frame-by-frame…