JointDiT is a Flux-based diffusion transformer that jointly generates RGB images and depth maps, and also handles depth estimation and depth-to-image generation by controlling the noise level of each branch.
Diffusion forcing: Next-token prediction meets full-sequence diffu- sion.Advances in Neural Information Processing Systems, 37:24081–24125, 2025
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JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers
JointDiT is a Flux-based diffusion transformer that jointly generates RGB images and depth maps, and also handles depth estimation and depth-to-image generation by controlling the noise level of each branch.