Papers

Filtered to 3D-to-2D mapping · clear filter

Browse by term

continual learning 33reinforcement learning 21large language models 9vision-language models 8language models 6benchmarking 5autoregressive models 4diffusion transformers 4generative models 4multimodal learning 4robotics 4video generation 4benchmarks 3computer vision 3policy optimization 3self-distillation 3vision-language-action models 3world modeling 3agent-based systems 2autonomous agents 2calibration 2coding agents 2diffusion models 2foundation models 2image synthesis 2in-context learning 2knowledge graphs 2LLMs 2multimodal evaluation 2multimodal large language models 2

Matching papers

DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation

11 upvotes · 15 JUL 2026 · Eungjune Shim, Hansol Lee, Eunjung Ju

This paper develops a new method for generating high-fidelity 3D images of thin-shell objects, like garments, by learning a continuous surface representation. Practitioners caring about 3D generation and object modeling might care about this approach because it achieves better results with fewer computational resources.

3D-to-2D mappinggeometry imagescontinuous signed distance functionsdifferentiable Marching Squareslatent diffusion modelstransformer-based models