Generation

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC ICML 2023 Reference-guided Controllable Inpainting of Neural Radiance Fields ICCV 2023 Referring Image Matting CVPR 2023 Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning AAAI 2023 Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models ICML 2023 Reflected Diffusion Models ICML 2023 Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection ICCV 2023 RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis CVPR 2023 ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing AAAI 2023 Re-Imagen: Retrieval-Augmented Text-to-Image Generator ICLR 2023 Reinforced Disentanglement for Face Swapping without Skip Connection ICCV 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis AAAI 2023 RelightableHands: Efficient Neural Relighting of Articulated Hand Models CVPR 2023 Relightable Neural Human Assets From Multi-View Gradient Illuminations CVPR 2023 ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects CVPR 2023 ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model ICCV 2023 Removing Objects From Neural Radiance Fields CVPR 2023 RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation CVPR 2023 Rendering Humans from Object-Occluded Monocular Videos ICCV 2023 RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars NeurIPS 2023 Representing Volumetric Videos As Dynamic MLP Maps CVPR 2023 Restart Sampling for Improving Generative Processes NeurIPS 2023 Rethinking Conditional Diffusion Sampling with Progressive Guidance NeurIPS 2023 Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues ICML 2023 Retrieval-augmented Image Captioning EACL 2023