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Functions3,158 in github.com/baaivision/GeoDream

⨍ Functions 3,158◇ Types & classes 664↳ Endpoints 1
↓ 2 callersMethodrestore
Restore the parameters stored with the `store` method. Useful to validate the model with EMA parameters without affecting the
mv-diffusion/One-2-3-45-by-view/ldm/modules/ema.py:64
↓ 2 callersMethodsample
(self)
threestudio/utils/GAN/distribution.py:17
↓ 2 callersMethodsample
(self)
threestudio/utils/GAN/distribution.py:37
↓ 2 callersMethodsample_lora
( self, prompt_utils: PromptProcessorOutput, elevation: Float[Tensor, "B"], az
threestudio/models/guidance/sd_vsd_scale_guidance.py:361
↓ 2 callersFunctionsample_pdf
:param bins: tensor of shape [N_rays, M+1], M is the number of bins :param weights: tensor of shape [N_rays, M] :param N_samples: number
mv-diffusion/One-2-3-45-by-view/reconstruction/models/render_utils.py:8
↓ 2 callersFunctionsample_pdf
:param bins: tensor of shape [N_rays, M+1], M is the number of bins :param weights: tensor of shape [N_rays, M] :param N_samples: number
mv-diffusion/One-2-3-45/reconstruction/models/render_utils.py:8
↓ 2 callersMethodset_min_max_steps
(self, min_step_percent=0.02, max_step_percent=0.98)
threestudio/models/guidance/stable_diffusion_vsd_guidance.py:220
↓ 2 callersMethodset_min_max_steps
(self, min_step_percent=0.02, max_step_percent=0.98)
threestudio/models/guidance/controlnet_guidance.py:143
↓ 2 callersMethodset_min_max_steps
(self, min_step_percent=0.02, max_step_percent=0.98)
threestudio/models/guidance/stable_diffusion_guidance.py:141
↓ 2 callersMethodset_min_max_steps
(self, min_step_percent=0.02, max_step_percent=0.98)
threestudio/models/guidance/sd_vsd_scale_guidance.py:228
↓ 2 callersMethodset_min_max_steps
(self, min_step_percent=0.02, max_step_percent=0.98)
threestudio/models/guidance/instructpix2pix_guidance.py:116
↓ 2 callersMethodset_min_max_steps
(self, min_step_percent=0.02, max_step_percent=0.98)
threestudio/models/guidance/deep_floyd_guidance.py:108
↓ 2 callersMethodset_rays
(self)
threestudio/data/image.py:138
↓ 2 callersMethodsetup
(self, cfg, split)
threestudio/data/image.py:53
↓ 2 callersMethodsetup
(self, stage=None)
threestudio/data/co3d.py:680
↓ 2 callersFunctionshift_pixel
shift pixel for super-resolution with different scale factors Args: x: WxHxC or WxH sf: scale factor upper_left: shift dir
extern/ldm_zero123/modules/image_degradation/bsrgan_light.py:102
↓ 2 callersFunctionshift_pixel
shift pixel for super-resolution with different scale factors Args: x: WxHxC or WxH sf: scale factor upper_left: shift dir
extern/ldm_zero123/modules/image_degradation/bsrgan.py:102
↓ 2 callersFunctionshift_pixel
shift pixel for super-resolution with different scale factors Args: x: WxHxC or WxH sf: scale factor upper_left: shift dir
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan_light.py:99
↓ 2 callersFunctionshift_pixel
shift pixel for super-resolution with different scale factors Args: x: WxHxC or WxH sf: scale factor upper_left: shift dir
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan.py:99
↓ 2 callersMethodstore
Save the current parameters for restoring later. Args: parameters: Iterable of `torch.nn.Parameter`; the parameters to be
extern/ldm_zero123/modules/ema.py:61
↓ 2 callersMethodstore
Save the current parameters for restoring later. Args: parameters: Iterable of `torch.nn.Parameter`; the parameters to be
mv-diffusion/One-2-3-45-by-view/ldm/modules/ema.py:55
↓ 2 callersFunctiontimestep_embedding
Create sinusoidal timestep embeddings. :param timesteps: a 1-D Tensor of N indices, one per batch element. These may be
extern/ldm_zero123/modules/diffusionmodules/util.py:174
↓ 2 callersFunctiontimestep_embedding
Create sinusoidal timestep embeddings. :param timesteps: a 1-D Tensor of N indices, one per batch element. These may be
mv-diffusion/One-2-3-45-by-view/ldm/modules/diffusionmodules/util.py:151
↓ 2 callersMethodto_rgb
(self, x)
extern/ldm_zero123/models/autoencoder.py:525
↓ 2 callersMethodto_rgb
(self, x)
mv-diffusion/One-2-3-45-by-view/ldm/models/autoencoder.py:417
↓ 2 callersFunctionto_rgb_image
(maybe_rgba: Image.Image)
mv-diffusion/zero123plus/diffusers-support/pipeline.py:30
↓ 2 callersMethodtrain
(self, mode=True)
threestudio/models/renderers/patch_renderer.py:102
↓ 2 callersMethodtrain_dataloader
(self)
threestudio/data/co3d.py:701
↓ 2 callersMethodtraining_substep
Args: guidance: one of "ref" (reference image supervision), "guidance"
threestudio/systems/imagedreamfusion.py:58
↓ 2 callersMethodtraining_substep
Args: guidance: one of "ref" (reference image supervision), "zero123"
threestudio/systems/zero123.py:56
↓ 2 callersMethodunwrap_uv
( self, xatlas_chart_options: dict = {}, xatlas_pack_options: dict = {} )
threestudio/models/mesh.py:244
↓ 2 callersMethodup_sample
(self, rays_o, rays_d, z_vals, sdf, n_importance, inv_variance, conditional_valid_mask_volum
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_neus_renderer.py:73
↓ 2 callersMethodup_sample
(self, rays_o, rays_d, z_vals, sdf, n_importance, inv_variance, conditional_valid_mask_volum
mv-diffusion/One-2-3-45/reconstruction/models/sparse_neus_renderer.py:73
↓ 2 callersMethodvae_decode
( self, vae: AutoencoderKL, latents: Float[Tensor, "B 4 Hl Wl"] )
threestudio/models/guidance/zero123_unified_guidance.py:331
↓ 2 callersMethodvae_decode
( self, vae: AutoencoderKL, latents: Float[Tensor, "B 4 Hl Wl"] )
threestudio/models/guidance/stable_diffusion_unified_guidance.py:320
↓ 2 callersMethodvae_encode
( self, vae: AutoencoderKL, imgs: Float[Tensor, "B 3 H W"], mode=False )
threestudio/models/guidance/zero123_unified_guidance.py:317
↓ 2 callersMethodvalidate
(self, idx=-1, resolution_level=-1)
mv-diffusion/One-2-3-45-by-view/reconstruction/exp_runner_generic_blender_train.py:508
↓ 2 callersMethodvalidate
(self, idx=-1, resolution_level=-1)
mv-diffusion/One-2-3-45/reconstruction/exp_runner_generic_blender_train.py:509
↓ 2 callersFunctionvisualize_depth_numpy
depth: (H, W)
mv-diffusion/One-2-3-45-by-view/reconstruction/utils/misc_utils.py:28
↓ 2 callersFunctionvolsdf_density
(sdf, inv_std)
threestudio/models/renderers/geodream_volume_renderer.py:17
↓ 1 callersMethod__getattr__
(self, name: str)
mv-diffusion/zero123plus/diffusers-support/pipeline.py:190
↓ 1 callersMethod__getitem__
(self, index)
mv-diffusion/One-2-3-45-by-view/ldm/data/simple.py:493
↓ 1 callersMethod__init__
( self, vae: AutoencoderKL, image_encoder: CLIPVisionModelWithProjection, unet
extern/zero123.py:109
↓ 1 callersMethod__init__
Apply classifier guidance Specify a guidance scale as either a scalar Or a schedule as a list of tuples t = 0->1 and scale, e.g.
extern/ldm_zero123/guidance.py:25
↓ 1 callersMethod__init__
(self, diffusion_model)
mv-diffusion/MVDream/mvdream/ldm/interface.py:13
↓ 1 callersMethod__init__
(self, ddconfig, lossconfig, embed_dim, ck
mv-diffusion/MVDream/mvdream/ldm/models/autoencoder.py:13
↓ 1 callersMethod__init__
(self, **kwargs)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/embedder.py:8
↓ 1 callersMethod__init__
(self, type='l1')
mv-diffusion/One-2-3-45-by-view/reconstruction/loss/depth_loss.py:7
↓ 1 callersMethod__init__
Apply classifier guidance Specify a guidance scale as either a scalar Or a schedule as a list of tuples t = 0->1 and scale, e.g.
mv-diffusion/One-2-3-45-by-view/ldm/guidance.py:24
↓ 1 callersMethod__init__
(self, **kwargs)
mv-diffusion/One-2-3-45/reconstruction/models/embedder.py:8
↓ 1 callersMethod__init__
(self, type='l1')
mv-diffusion/One-2-3-45/reconstruction/loss/depth_loss.py:7
↓ 1 callersMethod__init__
(self, v: np.ndarray, f: np.ndarray)
threestudio/utils/ops.py:324
↓ 1 callersMethod__init__
(self, cfg, split)
threestudio/data/co3d.py:529
↓ 1 callersMethod__init__
(self, resolution: int)
threestudio/models/isosurface.py:20
↓ 1 callersMethod__len__
(self)
mv-diffusion/One-2-3-45-by-view/ldm/data/base.py:20
↓ 1 callersFunction_augment
(img)
extern/ldm_zero123/modules/image_degradation/utils_image.py:516
↓ 1 callersFunction_augment
(img)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/utils_image.py:475
↓ 1 callersMethod_compute_edges
(self)
threestudio/models/mesh.py:255
↓ 1 callersMethod_compute_hash
(url, text)
mv-diffusion/One-2-3-45-by-view/ldm/data/laion.py:50
↓ 1 callersMethod_compute_vertex_normal
(self)
threestudio/models/mesh.py:134
↓ 1 callersMethod_compute_vertex_tangent
(self)
threestudio/models/mesh.py:162
↓ 1 callersFunction_create_feature_graph
(input_batch)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:635
↓ 1 callersFunction_create_feature_graph
(input_batch)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:608
↓ 1 callersFunction_create_softmax_graph
(input_batch)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:652
↓ 1 callersFunction_create_softmax_graph
(input_batch)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:625
↓ 1 callersMethod_encode_image
( self, image, elevation, azimuth, distance, device, n
extern/zero123.py:221
↓ 1 callersMethod_filter_relpaths
(self, relpaths)
mv-diffusion/One-2-3-45-by-view/ldm/data/imagenet.py:48
↓ 1 callersMethod_forward
(self, pos_nx3, sdf_n, tet_fx4)
threestudio/models/isosurface.py:168
↓ 1 callersMethod_get_latent_model_input
( self, latents: torch.FloatTensor, image: Optional[ Union[PIL.Image.Image
extern/zero123.py:405
↓ 1 callersMethod_get_next_version
(self)
threestudio/utils/callbacks.py:36
↓ 1 callersFunction_get_paths_from_images
(path)
extern/ldm_zero123/modules/image_degradation/utils_image.py:88
↓ 1 callersFunction_get_paths_from_images
(path)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/utils_image.py:74
↓ 1 callersMethod_initialize_weights
(self)
threestudio/utils/GAN/mobilenet.py:232
↓ 1 callersMethod_initilize_isosurface_helper
(self)
threestudio/models/geometry/base.py:85
↓ 1 callersFunction_is_in_graph
Checks whether a given tensor does exists in the graph.
extern/ldm_zero123/modules/evaluate/frechet_video_distance.py:54
↓ 1 callersFunction_is_in_graph
Checks whether a given tensor does exists in the graph.
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/frechet_video_distance.py:57
↓ 1 callersMethod_laplacian_uniform
(self)
threestudio/models/mesh.py:276
↓ 1 callersMethod_load
(self)
mv-diffusion/One-2-3-45-by-view/ldm/data/imagenet.py:93
↓ 1 callersFunction_load_16big_png_depth
(depth_png)
threestudio/data/co3d.py:33
↓ 1 callersMethod_load_caption_file
(self, filename)
mv-diffusion/One-2-3-45-by-view/ldm/data/simple.py:498
↓ 1 callersFunction_load_depth
(path, scale_adjustment)
threestudio/data/co3d.py:45
↓ 1 callersMethod_load_sample
(self, index)
mv-diffusion/One-2-3-45-by-view/ldm/data/simple.py:73
↓ 1 callersFunction_multi_tensor_adan
( params: List[Tensor], grads: List[Tensor], exp_avgs: List[Tensor], exp_avg_sqs: List[Tensor]
threestudio/systems/optimizers.py:257
↓ 1 callersFunction_ncc
(pred, gt, window, channel)
mv-diffusion/One-2-3-45-by-view/reconstruction/loss/ncc.py:43
↓ 1 callersFunction_ncc
(pred, gt, window, channel)
mv-diffusion/One-2-3-45/reconstruction/loss/ncc.py:43
↓ 1 callersFunction_numpy_partition
(arr, kth, **kwargs)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:685
↓ 1 callersFunction_numpy_partition
(arr, kth, **kwargs)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:658
↓ 1 callersFunction_open_npy_file
(path: str, arr_name: str)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:613
↓ 1 callersFunction_open_npy_file
(path: str, arr_name: str)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:586
↓ 1 callersMethod_prepare
(self)
mv-diffusion/One-2-3-45-by-view/ldm/data/imagenet.py:45
↓ 1 callersMethod_prepare_human_to_integer_label
(self)
mv-diffusion/One-2-3-45-by-view/ldm/data/imagenet.py:80
↓ 1 callersMethod_prepare_idx_to_synset
(self)
mv-diffusion/One-2-3-45-by-view/ldm/data/imagenet.py:74
↓ 1 callersMethod_prepare_synset_to_human
(self)
mv-diffusion/One-2-3-45-by-view/ldm/data/imagenet.py:66
↓ 1 callersFunction_read_bytes
Copied from: https://github.com/numpy/numpy/blob/fb215c76967739268de71aa4bda55dd1b062bc2e/numpy/lib/format.py#L788-L886 Read from file-like
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:583
↓ 1 callersFunction_read_bytes
Copied from: https://github.com/numpy/numpy/blob/fb215c76967739268de71aa4bda55dd1b062bc2e/numpy/lib/format.py#L788-L886 Read from file-like
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:556
↓ 1 callersMethod_save_mtl
( self, filename, matname, Ka=(0.0, 0.0, 0.0), Kd=(1.0, 1.0, 1.0),
threestudio/utils/saving.py:546
↓ 1 callersMethod_save_obj
( self, filename, v_pos, t_pos_idx, v_nrm=None, v_tex=None,
threestudio/utils/saving.py:501
↓ 1 callersFunction_single_tensor_adan
( params: List[Tensor], grads: List[Tensor], exp_avgs: List[Tensor], exp_avg_sqs: List[Tensor]
threestudio/systems/optimizers.py:200
↓ 1 callersFunction_update_shapes
(pool3)
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:666
↓ 1 callersFunction_update_shapes
(pool3)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:639
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